From dce4f16de822e20f4f744071a389e3bf278777b6 Mon Sep 17 00:00:00 2001
From: moto <855818+mthrok@users.noreply.github.com>
Date: Thu, 18 Aug 2022 14:37:46 +0900
Subject: [PATCH] Regenerate 0.12.1

This incorporates https://github.com/pytorch/audio/pull/2629, which is a fix
for the latest Sphinx-Gallery.
---
 ...nference_with_ctc_decoder_tutorial_001.png | Bin 131851 -> 131851 bytes
 ...r_audio_data_augmentation_tutorial_001.png | Bin 37212 -> 37212 bytes
 ...r_audio_data_augmentation_tutorial_002.png | Bin 230173 -> 230173 bytes
 ...r_audio_data_augmentation_tutorial_003.png | Bin 46055 -> 46055 bytes
 ...r_audio_data_augmentation_tutorial_004.png | Bin 231199 -> 231199 bytes
 ...r_audio_data_augmentation_tutorial_005.png | Bin 25858 -> 25858 bytes
 ...r_audio_data_augmentation_tutorial_006.png | Bin 235308 -> 235308 bytes
 ...r_audio_data_augmentation_tutorial_007.png | Bin 26967 -> 26967 bytes
 ...r_audio_data_augmentation_tutorial_008.png | Bin 27579 -> 27579 bytes
 ...r_audio_data_augmentation_tutorial_009.png | Bin 266462 -> 266462 bytes
 ...r_audio_data_augmentation_tutorial_010.png | Bin 28092 -> 28092 bytes
 ...r_audio_data_augmentation_tutorial_011.png | Bin 254324 -> 254324 bytes
 ...r_audio_data_augmentation_tutorial_012.png | Bin 37632 -> 37632 bytes
 ...r_audio_data_augmentation_tutorial_013.png | Bin 276581 -> 276581 bytes
 ...r_audio_data_augmentation_tutorial_014.png | Bin 26829 -> 26829 bytes
 ...r_audio_data_augmentation_tutorial_015.png | Bin 271630 -> 271630 bytes
 ...r_audio_data_augmentation_tutorial_016.png | Bin 26492 -> 26492 bytes
 ...r_audio_data_augmentation_tutorial_017.png | Bin 272963 -> 272963 bytes
 ...r_audio_data_augmentation_tutorial_018.png | Bin 27108 -> 27108 bytes
 ...r_audio_data_augmentation_tutorial_019.png | Bin 266546 -> 266546 bytes
 ...r_audio_data_augmentation_tutorial_020.png | Bin 27579 -> 27579 bytes
 ...r_audio_data_augmentation_tutorial_021.png | Bin 266462 -> 266462 bytes
 ...r_audio_data_augmentation_tutorial_022.png | Bin 28133 -> 28133 bytes
 ...r_audio_data_augmentation_tutorial_023.png | Bin 272028 -> 272028 bytes
 ...r_audio_data_augmentation_tutorial_024.png | Bin 27665 -> 27665 bytes
 ...r_audio_data_augmentation_tutorial_025.png | Bin 268583 -> 268583 bytes
 ...r_audio_data_augmentation_tutorial_026.png | Bin 27817 -> 27817 bytes
 ...r_audio_data_augmentation_tutorial_027.png | Bin 250557 -> 250557 bytes
 ...r_audio_data_augmentation_tutorial_028.png | Bin 266462 -> 266462 bytes
 ...r_audio_data_augmentation_tutorial_029.png | Bin 254324 -> 254324 bytes
 ...r_audio_data_augmentation_tutorial_030.png | Bin 273220 -> 273220 bytes
 ...r_audio_data_augmentation_tutorial_031.png | Bin 265120 -> 265120 bytes
 ...r_audio_data_augmentation_tutorial_032.png | Bin 274439 -> 274439 bytes
 .../sphx_glr_audio_datasets_tutorial_001.png  | Bin 268926 -> 268926 bytes
 .../sphx_glr_audio_datasets_tutorial_002.png  | Bin 268545 -> 268545 bytes
 .../sphx_glr_audio_datasets_tutorial_003.png  | Bin 263166 -> 263166 bytes
 ...udio_feature_augmentation_tutorial_001.png | Bin 161608 -> 161608 bytes
 ...udio_feature_augmentation_tutorial_002.png | Bin 195292 -> 195292 bytes
 ...udio_feature_augmentation_tutorial_003.png | Bin 197719 -> 197719 bytes
 ...udio_feature_augmentation_tutorial_004.png | Bin 277210 -> 277210 bytes
 ...udio_feature_augmentation_tutorial_005.png | Bin 239334 -> 239334 bytes
 ...udio_feature_augmentation_tutorial_006.png | Bin 277210 -> 277210 bytes
 ...udio_feature_augmentation_tutorial_007.png | Bin 226062 -> 226062 bytes
 ...audio_feature_extractions_tutorial_001.png | Bin 29643 -> 29643 bytes
 ...audio_feature_extractions_tutorial_002.png | Bin 251402 -> 251402 bytes
 ...audio_feature_extractions_tutorial_003.png | Bin 29289 -> 29289 bytes
 ...audio_feature_extractions_tutorial_004.png | Bin 35462 -> 35462 bytes
 ...audio_feature_extractions_tutorial_005.png | Bin 35156 -> 35156 bytes
 ...audio_feature_extractions_tutorial_006.png | Bin 204458 -> 204458 bytes
 ...audio_feature_extractions_tutorial_007.png | Bin 204188 -> 204188 bytes
 ...audio_feature_extractions_tutorial_008.png | Bin 299225 -> 299225 bytes
 ...audio_feature_extractions_tutorial_009.png | Bin 299774 -> 299774 bytes
 ...audio_feature_extractions_tutorial_010.png | Bin 266409 -> 266409 bytes
 ...audio_feature_extractions_tutorial_011.png | Bin 42244 -> 42244 bytes
 ...audio_feature_extractions_tutorial_012.png | Bin 62319 -> 62319 bytes
 .../sphx_glr_audio_io_tutorial_001.png        | Bin 28468 -> 28468 bytes
 .../sphx_glr_audio_io_tutorial_002.png        | Bin 274585 -> 274585 bytes
 .../sphx_glr_audio_io_tutorial_003.png        | Bin 274672 -> 274672 bytes
 .../sphx_glr_audio_io_tutorial_004.png        | Bin 273574 -> 273574 bytes
 .../sphx_glr_audio_io_tutorial_005.png        | Bin 273764 -> 273764 bytes
 ...sphx_glr_audio_resampling_tutorial_001.png | Bin 127873 -> 127873 bytes
 ...sphx_glr_audio_resampling_tutorial_002.png | Bin 141762 -> 141762 bytes
 ...sphx_glr_audio_resampling_tutorial_003.png | Bin 142044 -> 142044 bytes
 ...sphx_glr_audio_resampling_tutorial_004.png | Bin 121078 -> 121078 bytes
 ...sphx_glr_audio_resampling_tutorial_005.png | Bin 140522 -> 140522 bytes
 ...sphx_glr_audio_resampling_tutorial_006.png | Bin 135832 -> 135832 bytes
 ...sphx_glr_audio_resampling_tutorial_007.png | Bin 141395 -> 141395 bytes
 ...sphx_glr_audio_resampling_tutorial_008.png | Bin 132273 -> 132273 bytes
 ...sphx_glr_audio_resampling_tutorial_009.png | Bin 123950 -> 123950 bytes
 ...sphx_glr_audio_resampling_tutorial_010.png | Bin 138902 -> 138902 bytes
 ...sphx_glr_audio_resampling_tutorial_011.png | Bin 131507 -> 131507 bytes
 ...sphx_glr_audio_resampling_tutorial_012.png | Bin 137319 -> 137319 bytes
 ...sphx_glr_forced_alignment_tutorial_001.png | Bin 40475 -> 40475 bytes
 ...sphx_glr_forced_alignment_tutorial_002.png | Bin 33044 -> 33044 bytes
 ...sphx_glr_forced_alignment_tutorial_003.png | Bin 31074 -> 31074 bytes
 ...sphx_glr_forced_alignment_tutorial_004.png | Bin 81766 -> 81766 bytes
 ...sphx_glr_forced_alignment_tutorial_005.png | Bin 95768 -> 95768 bytes
 0.12.1/_images/sphx_glr_mvdr_tutorial_001.png | Bin 315150 -> 315150 bytes
 0.12.1/_images/sphx_glr_mvdr_tutorial_002.png | Bin 306297 -> 306297 bytes
 0.12.1/_images/sphx_glr_mvdr_tutorial_003.png | Bin 290886 -> 290886 bytes
 0.12.1/_images/sphx_glr_mvdr_tutorial_004.png | Bin 333288 -> 333288 bytes
 0.12.1/_images/sphx_glr_mvdr_tutorial_005.png | Bin 333046 -> 333046 bytes
 0.12.1/_images/sphx_glr_mvdr_tutorial_006.png | Bin 296723 -> 296723 bytes
 0.12.1/_images/sphx_glr_mvdr_tutorial_007.png | Bin 313256 -> 313256 bytes
 0.12.1/_images/sphx_glr_mvdr_tutorial_008.png | Bin 311632 -> 311632 bytes
 ...eech_recognition_pipeline_tutorial_001.png | Bin 6160788 -> 6160788 bytes
 ...eech_recognition_pipeline_tutorial_002.png | Bin 35947 -> 35947 bytes
 .../sphx_glr_streaming_api2_tutorial_001.png  | Bin 167619 -> 167619 bytes
 .../sphx_glr_streaming_api2_tutorial_002.png  | Bin 145215 -> 145215 bytes
 .../sphx_glr_streaming_api2_tutorial_003.png  | Bin 129348 -> 129348 bytes
 .../sphx_glr_streaming_api2_tutorial_004.png  | Bin 165862 -> 165862 bytes
 .../sphx_glr_streaming_api2_tutorial_005.png  | Bin 206675 -> 206675 bytes
 .../sphx_glr_streaming_api2_tutorial_006.png  | Bin 202049 -> 202049 bytes
 .../sphx_glr_streaming_api2_tutorial_007.png  | Bin 66762 -> 66762 bytes
 .../sphx_glr_streaming_api2_tutorial_008.png  | Bin 181560 -> 181560 bytes
 .../sphx_glr_streaming_api2_tutorial_009.png  | Bin 169445 -> 169445 bytes
 .../sphx_glr_streaming_api_tutorial_001.png   | Bin 293930 -> 293930 bytes
 ...hx_glr_tacotron2_pipeline_tutorial_001.png | Bin 51325 -> 51325 bytes
 ...hx_glr_tacotron2_pipeline_tutorial_002.png | Bin 137302 -> 137302 bytes
 ...hx_glr_tacotron2_pipeline_tutorial_003.png | Bin 86036 -> 86036 bytes
 ...hx_glr_tacotron2_pipeline_tutorial_004.png | Bin 89202 -> 89202 bytes
 ...hx_glr_tacotron2_pipeline_tutorial_005.png | Bin 82473 -> 82473 bytes
 ...nference_with_ctc_decoder_tutorial.rst.txt |  42 +-
 .../audio_data_augmentation_tutorial.rst.txt  |   8 +-
 .../tutorials/audio_datasets_tutorial.rst.txt |   4 +-
 ...udio_feature_augmentation_tutorial.rst.txt |   2 +-
 ...audio_feature_extractions_tutorial.rst.txt |   2 +-
 .../tutorials/audio_io_tutorial.rst.txt       |  26 +-
 .../audio_resampling_tutorial.rst.txt         |  34 +-
 .../forced_alignment_tutorial.rst.txt         |   2 +-
 .../_sources/tutorials/mvdr_tutorial.rst.txt  |   6 +-
 .../tutorials/online_asr_tutorial.rst.txt     |   8 +-
 .../tutorials/sg_execution_times.rst.txt      |  30 +-
 ...eech_recognition_pipeline_tutorial.rst.txt |   4 +-
 .../tutorials/streaming_api2_tutorial.rst.txt |   2 +-
 .../tutorials/streaming_api_tutorial.rst.txt  |   2 +-
 .../tacotron2_pipeline_tutorial.rst.txt       |  12 +-
 0.12.1/_static/css/custom.css                 |  16 +
 0.12.1/hw_acceleration_tutorial.html          |   8 -
 0.12.1/searchindex.js                         |   2 +-
 ...r_inference_with_ctc_decoder_tutorial.html | 812 +++++++---------
 .../audio_data_augmentation_tutorial.html     |   8 +-
 0.12.1/tutorials/audio_datasets_tutorial.html |  13 +-
 .../audio_feature_augmentation_tutorial.html  |   2 +-
 .../audio_feature_extractions_tutorial.html   |   2 +-
 0.12.1/tutorials/audio_io_tutorial.html       |  26 +-
 .../tutorials/audio_resampling_tutorial.html  |  34 +-
 .../tutorials/forced_alignment_tutorial.html  |   2 +-
 0.12.1/tutorials/mvdr_tutorial.html           |   6 +-
 0.12.1/tutorials/online_asr_tutorial.html     | 106 ++-
 0.12.1/tutorials/sg_execution_times.html      |  36 +-
 .../speech_recognition_pipeline_tutorial.html | 117 +--
 0.12.1/tutorials/streaming_api2_tutorial.html |   2 +-
 0.12.1/tutorials/streaming_api_tutorial.html  |   2 +-
 .../tacotron2_pipeline_tutorial.html          | 112 ++-
 _static/css/custom.css                        |  16 +
 main/_modules/index.html                      |   2 +-
 main/_modules/torchaudio/backend/common.html  |   2 +-
 .../torchaudio/backend/soundfile_backend.html |   2 +-
 .../torchaudio/backend/sox_io_backend.html    |   2 +-
 main/_modules/torchaudio/backend/utils.html   |   2 +-
 .../_modules/torchaudio/compliance/kaldi.html |   2 +-
 .../torchaudio/datasets/cmuarctic.html        |   2 +-
 .../_modules/torchaudio/datasets/cmudict.html |   2 +-
 .../torchaudio/datasets/commonvoice.html      |   2 +-
 .../_modules/torchaudio/datasets/dr_vctk.html |   2 +-
 .../torchaudio/datasets/fluentcommands.html   |   2 +-
 main/_modules/torchaudio/datasets/gtzan.html  |   2 +-
 .../datasets/librilight_limited.html          |   2 +-
 .../torchaudio/datasets/librimix.html         |   2 +-
 .../torchaudio/datasets/librispeech.html      |   2 +-
 .../torchaudio/datasets/libritts.html         |   2 +-
 .../torchaudio/datasets/ljspeech.html         |   2 +-
 .../torchaudio/datasets/musdb_hq.html         |   2 +-
 .../torchaudio/datasets/quesst14.html         |   2 +-
 .../torchaudio/datasets/speechcommands.html   |   2 +-
 .../_modules/torchaudio/datasets/tedlium.html |   2 +-
 main/_modules/torchaudio/datasets/vctk.html   |   2 +-
 .../torchaudio/datasets/voxceleb1.html        |   2 +-
 main/_modules/torchaudio/datasets/yesno.html  |   2 +-
 .../torchaudio/functional/filtering.html      |   2 +-
 .../torchaudio/functional/functional.html     |   2 +-
 .../torchaudio/io/_stream_reader.html         |   2 +-
 main/_modules/torchaudio/kaldi_io.html        |   2 +-
 .../_modules/torchaudio/models/conformer.html |   2 +-
 .../torchaudio/models/conv_tasnet.html        |   2 +-
 .../models/decoder/_ctc_decoder.html          |   2 +-
 .../torchaudio/models/deepspeech.html         |   2 +-
 main/_modules/torchaudio/models/emformer.html |   2 +-
 main/_modules/torchaudio/models/rnnt.html     |   2 +-
 .../torchaudio/models/rnnt_decoder.html       |   2 +-
 .../_modules/torchaudio/models/tacotron2.html |   2 +-
 .../torchaudio/models/wav2letter.html         |   2 +-
 .../torchaudio/models/wav2vec2/model.html     |   2 +-
 .../models/wav2vec2/utils/import_fairseq.html |   2 +-
 .../wav2vec2/utils/import_huggingface.html    |   2 +-
 main/_modules/torchaudio/models/wavernn.html  |   2 +-
 .../torchaudio/pipelines/_tts/interface.html  |   2 +-
 .../torchaudio/pipelines/_wav2vec2/impl.html  |   2 +-
 .../torchaudio/pipelines/rnnt_pipeline.html   |   2 +-
 .../prototype/functional/functional.html      |   2 +-
 .../prototype/models/conv_emformer.html       |   2 +-
 .../prototype/models/conv_tasnet.html         |   2 +-
 .../torchaudio/prototype/models/hdemucs.html  |   2 +-
 .../torchaudio/prototype/models/rnnt.html     |   2 +-
 .../pipelines/source_separation_pipeline.html |   2 +-
 .../torchaudio/sox_effects/sox_effects.html   |   2 +-
 .../torchaudio/transforms/_multi_channel.html |   2 +-
 .../torchaudio/transforms/_transforms.html    |   2 +-
 .../torchaudio/utils/ffmpeg_utils.html        |   2 +-
 main/_modules/torchaudio/utils/sox_utils.html |   2 +-
 main/_sources/transforms.rst.txt              |   2 +-
 ...nference_with_ctc_decoder_tutorial.rst.txt |  42 +-
 .../audio_data_augmentation_tutorial.rst.txt  |  12 +-
 .../tutorials/audio_datasets_tutorial.rst.txt |   8 +-
 ...udio_feature_augmentation_tutorial.rst.txt |   6 +-
 ...audio_feature_extractions_tutorial.rst.txt |   6 +-
 .../tutorials/audio_io_tutorial.rst.txt       |  30 +-
 .../audio_resampling_tutorial.rst.txt         |  46 +-
 .../forced_alignment_tutorial.rst.txt         |   6 +-
 .../tutorials/hybrid_demucs_tutorial.rst.txt  |  18 +-
 main/_sources/tutorials/mvdr_tutorial.rst.txt |  10 +-
 .../tutorials/online_asr_tutorial.rst.txt     |  12 +-
 .../tutorials/sg_execution_times.rst.txt      |  32 +-
 ...eech_recognition_pipeline_tutorial.rst.txt |   8 +-
 .../tutorials/streaming_api2_tutorial.rst.txt |   6 +-
 .../tutorials/streaming_api_tutorial.rst.txt  |   6 +-
 .../tacotron2_pipeline_tutorial.rst.txt       |  16 +-
 main/_static/css/custom.css                   |  16 +
 main/backend.html                             |   2 +-
 main/compliance.kaldi.html                    |   2 +-
 main/datasets.html                            |   2 +-
 main/functional.html                          |   2 +-
 main/genindex.html                            |   2 +-
 main/hw_acceleration_tutorial.html            |  10 +-
 main/index.html                               |   2 +-
 main/io.html                                  |   2 +-
 main/kaldi_io.html                            |   2 +-
 main/models.decoder.html                      |   2 +-
 main/models.html                              |   2 +-
 main/objects.inv                              | Bin 17716 -> 17716 bytes
 main/pipelines.html                           |   2 +-
 main/prototype.functional.html                |   2 +-
 main/prototype.html                           |   2 +-
 main/prototype.models.html                    |   2 +-
 main/prototype.pipelines.html                 |   2 +-
 main/py-modindex.html                         |   2 +-
 main/search.html                              |   2 +-
 main/searchindex.js                           |   2 +-
 main/sox_effects.html                         |   2 +-
 main/supported_features.html                  |   2 +-
 main/torchaudio.html                          |   2 +-
 main/transforms.html                          |   2 +-
 ...r_inference_with_ctc_decoder_tutorial.html | 901 +++++++++++-------
 .../audio_data_augmentation_tutorial.html     |  14 +-
 main/tutorials/audio_datasets_tutorial.html   |  19 +-
 .../audio_feature_augmentation_tutorial.html  |   8 +-
 .../audio_feature_extractions_tutorial.html   |   8 +-
 main/tutorials/audio_io_tutorial.html         |  32 +-
 main/tutorials/audio_resampling_tutorial.html |  48 +-
 main/tutorials/device_asr.html                |   2 +-
 main/tutorials/forced_alignment_tutorial.html |   8 +-
 main/tutorials/hybrid_demucs_tutorial.html    | 105 +-
 main/tutorials/mvdr_tutorial.html             |  12 +-
 main/tutorials/online_asr_tutorial.html       |  71 +-
 main/tutorials/sg_execution_times.html        |  46 +-
 .../speech_recognition_pipeline_tutorial.html | 118 +--
 main/tutorials/streaming_api2_tutorial.html   |   8 +-
 main/tutorials/streaming_api_tutorial.html    |   8 +-
 .../tacotron2_pipeline_tutorial.html          | 135 +--
 main/utils.html                               |   2 +-
 251 files changed, 1824 insertions(+), 1673 deletions(-)

diff --git a/0.12.1/_images/sphx_glr_asr_inference_with_ctc_decoder_tutorial_001.png b/0.12.1/_images/sphx_glr_asr_inference_with_ctc_decoder_tutorial_001.png
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GIT binary patch
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delta 49
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GIT binary patch
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delta 52
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GIT binary patch
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delta 52
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delta 43
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delta 43
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delta 43
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index cfa416abc2fa99ee3eb2dfdb618f7dee47ee217d..b7d0e7e47cbd950e7b12ee7040ce3606d38d1f6d 100644
GIT binary patch
delta 46
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delta 46
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diff --git a/0.12.1/_images/sphx_glr_audio_resampling_tutorial_010.png b/0.12.1/_images/sphx_glr_audio_resampling_tutorial_010.png
index ceb5cf83b469f643ca0c360fbffb2f545ff01292..8ed618d4f2e132f19e32fcd18713860db56558b3 100644
GIT binary patch
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delta 49
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diff --git a/0.12.1/_images/sphx_glr_audio_resampling_tutorial_011.png b/0.12.1/_images/sphx_glr_audio_resampling_tutorial_011.png
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GIT binary patch
delta 49
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delta 49
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diff --git a/0.12.1/_images/sphx_glr_audio_resampling_tutorial_012.png b/0.12.1/_images/sphx_glr_audio_resampling_tutorial_012.png
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GIT binary patch
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delta 49
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diff --git a/0.12.1/_images/sphx_glr_forced_alignment_tutorial_001.png b/0.12.1/_images/sphx_glr_forced_alignment_tutorial_001.png
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GIT binary patch
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delta 43
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diff --git a/0.12.1/_images/sphx_glr_forced_alignment_tutorial_002.png b/0.12.1/_images/sphx_glr_forced_alignment_tutorial_002.png
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GIT binary patch
delta 43
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delta 43
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diff --git a/0.12.1/_images/sphx_glr_forced_alignment_tutorial_003.png b/0.12.1/_images/sphx_glr_forced_alignment_tutorial_003.png
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GIT binary patch
delta 43
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delta 43
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diff --git a/0.12.1/_images/sphx_glr_forced_alignment_tutorial_004.png b/0.12.1/_images/sphx_glr_forced_alignment_tutorial_004.png
index 774d8b9f2b946aac12e05bed9afc575a70009e41..eb500ae57c30c6b7bdbfa75dc6fa7345c123c806 100644
GIT binary patch
delta 45
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delta 45
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diff --git a/0.12.1/_images/sphx_glr_forced_alignment_tutorial_005.png b/0.12.1/_images/sphx_glr_forced_alignment_tutorial_005.png
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GIT binary patch
delta 46
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delta 46
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diff --git a/0.12.1/_images/sphx_glr_mvdr_tutorial_001.png b/0.12.1/_images/sphx_glr_mvdr_tutorial_001.png
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GIT binary patch
delta 55
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delta 55
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diff --git a/0.12.1/_images/sphx_glr_mvdr_tutorial_002.png b/0.12.1/_images/sphx_glr_mvdr_tutorial_002.png
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GIT binary patch
delta 55
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delta 55
zcmex)L+IxXp$Q&xMmh=^B_##LR{Hw6i6sR&`6W4-NqYH3>H1n`@~(|(t!a#{X-utY
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diff --git a/0.12.1/_images/sphx_glr_mvdr_tutorial_003.png b/0.12.1/_images/sphx_glr_mvdr_tutorial_003.png
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GIT binary patch
delta 55
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delta 55
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diff --git a/0.12.1/_images/sphx_glr_mvdr_tutorial_004.png b/0.12.1/_images/sphx_glr_mvdr_tutorial_004.png
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GIT binary patch
delta 58
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delta 58
zcmaE{TI9uQkqI7hMmh=^B_##LR{Hw6i6sR&`6W4-NqYH3>H1n`@~(|(t!a#{X-utY
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diff --git a/0.12.1/_images/sphx_glr_mvdr_tutorial_005.png b/0.12.1/_images/sphx_glr_mvdr_tutorial_005.png
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GIT binary patch
delta 58
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delta 58
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diff --git a/0.12.1/_images/sphx_glr_mvdr_tutorial_006.png b/0.12.1/_images/sphx_glr_mvdr_tutorial_006.png
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GIT binary patch
delta 55
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delta 55
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GIT binary patch
delta 55
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delta 55
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diff --git a/0.12.1/_images/sphx_glr_mvdr_tutorial_008.png b/0.12.1/_images/sphx_glr_mvdr_tutorial_008.png
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GIT binary patch
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delta 55
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diff --git a/0.12.1/_images/sphx_glr_speech_recognition_pipeline_tutorial_001.png b/0.12.1/_images/sphx_glr_speech_recognition_pipeline_tutorial_001.png
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GIT binary patch
delta 327
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delta 327
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GIT binary patch
delta 43
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delta 43
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diff --git a/0.12.1/_images/sphx_glr_streaming_api2_tutorial_001.png b/0.12.1/_images/sphx_glr_streaming_api2_tutorial_001.png
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GIT binary patch
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delta 49
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GIT binary patch
delta 49
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delta 49
zcmdo0j${8jjtL%eMmh=^B_##LR{Hw6i6sR&`6W4-NqYH3>H1n`@~(|(t!a!~)0l3W
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GIT binary patch
delta 46
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delta 46
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diff --git a/0.12.1/_images/sphx_glr_streaming_api2_tutorial_004.png b/0.12.1/_images/sphx_glr_streaming_api2_tutorial_004.png
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GIT binary patch
delta 49
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delta 49
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GIT binary patch
delta 52
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delta 52
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GIT binary patch
delta 52
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delta 52
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GIT binary patch
delta 46
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delta 46
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diff --git a/0.12.1/_images/sphx_glr_streaming_api2_tutorial_008.png b/0.12.1/_images/sphx_glr_streaming_api2_tutorial_008.png
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GIT binary patch
delta 49
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delta 49
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GIT binary patch
delta 49
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delta 49
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diff --git a/0.12.1/_images/sphx_glr_streaming_api_tutorial_001.png b/0.12.1/_images/sphx_glr_streaming_api_tutorial_001.png
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GIT binary patch
delta 55
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delta 55
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L%v;k~j#L8xP!AMS

diff --git a/0.12.1/_images/sphx_glr_tacotron2_pipeline_tutorial_001.png b/0.12.1/_images/sphx_glr_tacotron2_pipeline_tutorial_001.png
index d3c1c33f98a5b1cdf85a83907989f0f30dbe9295..4e34f6760ef13920cd95273104dd215fa93c7466 100644
GIT binary patch
delta 43
zcmex6f%)$Q<_R8h#yScaB_##LR{Hw6i6sR&`6W4-NqYH3>H252cV60<CVm0{cn%S_

delta 43
zcmex6f%)$Q<_R8hMmh=^B_##LR{Hw6i6sR&`6W4-NqYH3>H1n`@~#`x#7_VKY{U=u

diff --git a/0.12.1/_images/sphx_glr_tacotron2_pipeline_tutorial_002.png b/0.12.1/_images/sphx_glr_tacotron2_pipeline_tutorial_002.png
index 357e2bc8b8459515ae7e8baf008d592e39f6beb6..444862ca5976e708bf4473918d161b2bf00931ca 100644
GIT binary patch
delta 49
zcmcb%f#cc+jtL%e#yScaB_##LR{Hw6i6sR&`6W4-NqYH3>H252cV22tYfWR^n#S}&
F902D`6SM#T

delta 49
zcmcb%f#cc+jtL%eMmh=^B_##LR{Hw6i6sR&`6W4-NqYH3>H1n`@~(|(t!a!~)0jSp
F0|3#25%d56

diff --git a/0.12.1/_images/sphx_glr_tacotron2_pipeline_tutorial_003.png b/0.12.1/_images/sphx_glr_tacotron2_pipeline_tutorial_003.png
index 0cad3e5df4d0850cf35444ba4831e43392558f67..ca030cc6ffeeab47e800f2584d3e2f5792957d80 100644
GIT binary patch
delta 46
zcmbQTfOX0O)(IYR#yScaB_##LR{Hw6i6sR&`6W4-NqYH3>H252cV22t+nUC>&L04f
CxDpcp

delta 46
zcmbQTfOX0O)(IYRMmh=^B_##LR{Hw6i6sR&`6W4-NqYH3>H1n`@~(|(ThkcV`2zre
CE)Y`y

diff --git a/0.12.1/_images/sphx_glr_tacotron2_pipeline_tutorial_004.png b/0.12.1/_images/sphx_glr_tacotron2_pipeline_tutorial_004.png
index a9847ee5229562ae843d56b7843d90fdb1f4a06b..9618b8138c4a11419a989b6ccd74e05cbb9894cd 100644
GIT binary patch
delta 46
zcmeyggZ0x6)(IYR#yScaB_##LR{Hw6i6sR&`6W4-NqYH3>H252cV22t+nUD669WLa
CR}yLf

delta 46
zcmeyggZ0x6)(IYRMmh=^B_##LR{Hw6i6sR&`6W4-NqYH3>H1n`@~(|(ThkbMVgRSj
B5UKzG

diff --git a/0.12.1/_images/sphx_glr_tacotron2_pipeline_tutorial_005.png b/0.12.1/_images/sphx_glr_tacotron2_pipeline_tutorial_005.png
index 87012c5ca09ba569b86ab3a157829830b051c796..e3bad9f19c14cfbd9325f831b381324dd74488b6 100644
GIT binary patch
delta 46
zcmZ44!n(4Bb%KYSv5rDUNl8JmmA-y%Vo5<xeo0Pdl3spMy8c=1otGNZwx%&2b_4*9
Coe~TH

delta 46
zcmZ44!n(4Bb%KYSk&Z$}Nl8JmmA-y%Vo5<xeo0Pdl3spMy1tf~ylZ3H)-=Y$jsSiW
B5KI67

diff --git a/0.12.1/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt b/0.12.1/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt
index f05b0b8d9b..8082d07eba 100644
--- a/0.12.1/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt
+++ b/0.12.1/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt
@@ -138,7 +138,7 @@ tutorial <https://pytorch.org/audio/main/tutorials/speech_recognition_pipeline_t
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ll10m.pth" to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ll10m.pth
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@@ -171,7 +171,7 @@ We will load a sample from the LibriSpeech test-other dataset.
 
  .. code-block:: none
 
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 .. raw:: html
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  .. code-block:: none
 
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     30%|###       | 899M/2.91G [00:12<00:29, 74.0MB/s]
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     80%|########  | 2.33G/2.91G [00:34<00:08, 74.3MB/s]
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     84%|########3 | 2.44G/2.91G [00:36<00:07, 68.0MB/s]
     84%|########3 | 2.44G/2.91G [00:36<00:07, 65.9MB/s]
     84%|########4 | 2.45G/2.91G [00:36<00:06, 70.5MB/s]
     84%|########4 | 2.46G/2.91G [00:36<00:06, 72.6MB/s]
     85%|########4 | 2.46G/2.91G [00:36<00:06, 73.0MB/s]
     85%|########4 | 2.47G/2.91G [00:36<00:06, 71.4MB/s]
     85%|########5 | 2.48G/2.91G [00:36<00:06, 75.4MB/s]
     85%|########5 | 2.49G/2.91G [00:36<00:06, 66.3MB/s]
     86%|########5 | 2.49G/2.91G [00:37<00:06, 67.9MB/s]
     86%|########5 | 2.50G/2.91G [00:37<00:06, 67.3MB/s]
     86%|########6 | 2.51G/2.91G [00:37<00:05, 72.2MB/s]
     86%|########6 | 2.52G/2.91G [00:37<00:05, 74.6MB/s]
     87%|########6 | 2.52G/2.91G [00:37<00:07, 58.4MB/s]
     87%|########6 | 2.53G/2.91G [00:37<00:06, 61.7MB/s]
     87%|########7 | 2.54G/2.91G [00:37<00:06, 63.9MB/s]
     87%|########7 | 2.54G/2.91G [00:37<00:06, 63.3MB/s]
     88%|########7 | 2.55G/2.91G [00:37<00:06, 64.0MB/s]
     88%|########7 | 2.56G/2.91G [00:38<00:05, 70.7MB/s]
     88%|########8 | 2.56G/2.91G [00:38<00:05, 73.1MB/s]
     88%|########8 | 2.57G/2.91G [00:38<00:05, 72.3MB/s]
     89%|########8 | 2.58G/2.91G [00:38<00:05, 69.6MB/s]
     89%|########8 | 2.59G/2.91G [00:38<00:04, 72.9MB/s]
     89%|########9 | 2.59G/2.91G [00:38<00:04, 71.4MB/s]
     89%|########9 | 2.60G/2.91G [00:38<00:04, 72.8MB/s]
     90%|########9 | 2.61G/2.91G [00:38<00:04, 74.8MB/s]
     90%|########9 | 2.61G/2.91G [00:38<00:04, 71.3MB/s]
     90%|######### | 2.62G/2.91G [00:39<00:04, 76.6MB/s]
     90%|######### | 2.63G/2.91G [00:39<00:03, 77.5MB/s]
     91%|######### | 2.64G/2.91G [00:39<00:03, 74.4MB/s]
     91%|######### | 2.64G/2.91G [00:39<00:03, 75.1MB/s]
     91%|#########1| 2.65G/2.91G [00:39<00:03, 75.3MB/s]
     91%|#########1| 2.66G/2.91G [00:39<00:03, 77.7MB/s]
     92%|#########1| 2.67G/2.91G [00:39<00:03, 74.8MB/s]
     92%|#########1| 2.67G/2.91G [00:39<00:03, 71.1MB/s]
     92%|#########2| 2.68G/2.91G [00:39<00:03, 70.7MB/s]
     92%|#########2| 2.69G/2.91G [00:39<00:03, 73.2MB/s]
     93%|#########2| 2.69G/2.91G [00:40<00:03, 72.2MB/s]
     93%|#########2| 2.70G/2.91G [00:40<00:02, 76.8MB/s]
     93%|#########3| 2.71G/2.91G [00:40<00:03, 70.5MB/s]
     93%|#########3| 2.72G/2.91G [00:40<00:03, 63.1MB/s]
     94%|#########3| 2.72G/2.91G [00:40<00:03, 63.2MB/s]
     94%|#########3| 2.73G/2.91G [00:40<00:02, 65.6MB/s]
     94%|#########4| 2.74G/2.91G [00:40<00:02, 65.3MB/s]
     94%|#########4| 2.74G/2.91G [00:40<00:02, 70.4MB/s]
     95%|#########4| 2.75G/2.91G [00:40<00:02, 72.2MB/s]
     95%|#########4| 2.76G/2.91G [00:41<00:02, 71.6MB/s]
     95%|#########5| 2.76G/2.91G [00:41<00:02, 74.3MB/s]
     95%|#########5| 2.77G/2.91G [00:41<00:01, 76.9MB/s]
     96%|#########5| 2.78G/2.91G [00:41<00:01, 74.4MB/s]
     96%|#########5| 2.79G/2.91G [00:41<00:01, 74.0MB/s]
     96%|#########6| 2.79G/2.91G [00:41<00:01, 76.2MB/s]
     96%|#########6| 2.80G/2.91G [00:41<00:01, 78.6MB/s]
     97%|#########6| 2.81G/2.91G [00:41<00:01, 77.8MB/s]
     97%|#########6| 2.82G/2.91G [00:41<00:01, 74.4MB/s]
     97%|#########7| 2.82G/2.91G [00:41<00:01, 73.8MB/s]
     97%|#########7| 2.83G/2.91G [00:42<00:01, 76.1MB/s]
     98%|#########7| 2.84G/2.91G [00:42<00:00, 78.3MB/s]
     98%|#########7| 2.85G/2.91G [00:42<00:00, 79.3MB/s]
     98%|#########8| 2.85G/2.91G [00:42<00:00, 74.1MB/s]
     98%|#########8| 2.86G/2.91G [00:42<00:00, 75.3MB/s]
     99%|#########8| 2.87G/2.91G [00:42<00:00, 77.2MB/s]
     99%|#########8| 2.88G/2.91G [00:42<00:00, 79.2MB/s]
     99%|#########9| 2.88G/2.91G [00:42<00:00, 78.3MB/s]
     99%|#########9| 2.89G/2.91G [00:42<00:00, 71.9MB/s]
    100%|#########9| 2.90G/2.91G [00:43<00:00, 74.0MB/s]
    100%|#########9| 2.91G/2.91G [00:43<00:00, 74.0MB/s]
    100%|##########| 2.91G/2.91G [00:43<00:00, 72.3MB/s]
+
      0%|          | 0.00/4.97M [00:00<?, ?B/s]
     85%|########5 | 4.23M/4.97M [00:00<00:00, 39.0MB/s]
    100%|##########| 4.97M/4.97M [00:00<00:00, 43.8MB/s]
+
      0%|          | 0.00/57.0 [00:00<?, ?B/s]
    100%|##########| 57.0/57.0 [00:00<00:00, 40.2kB/s]
+
      0%|          | 0.00/2.91G [00:00<?, ?B/s]
      0%|          | 12.1M/2.91G [00:00<00:24, 127MB/s]
      1%|          | 24.3M/2.91G [00:00<00:32, 96.0MB/s]
      1%|1         | 33.9M/2.91G [00:00<00:46, 66.9MB/s]
      2%|1         | 46.8M/2.91G [00:00<00:45, 68.3MB/s]
      2%|1         | 53.8M/2.91G [00:00<00:53, 56.9MB/s]
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      3%|2         | 79.7M/2.91G [00:01<00:58, 52.1MB/s]
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      3%|3         | 96.0M/2.91G [00:01<00:46, 64.5MB/s]
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      4%|3         | 117M/2.91G [00:01<00:45, 66.4MB/s]
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     11%|#1        | 334M/2.91G [00:05<00:47, 58.7MB/s]
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     20%|##        | 607M/2.91G [00:08<00:28, 87.0MB/s]
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     50%|#####     | 1.47G/2.91G [00:19<00:16, 91.5MB/s]
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     60%|######    | 1.75G/2.91G [00:23<00:19, 63.2MB/s]
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     61%|######1   | 1.78G/2.91G [00:24<00:19, 61.3MB/s]
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     PretrainedFiles(lexicon='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lexicon.txt', tokens='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/tokens.txt', lm='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lm.bin')
 
 
@@ -752,10 +752,10 @@ computation time.
 
  .. code-block:: none
 
-    beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.0999 secs)
-    beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0634 secs)
-    beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2466 secs)
-    beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.7355 secs)
+    beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.0889 secs)
+    beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0611 secs)
+    beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2769 secs)
+    beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.8067 secs)
 
 
 
@@ -800,10 +800,10 @@ hypotheses at the cost of computation.
 
  .. code-block:: none
 
-    beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.3358 secs)
-    beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.2273 secs)
-    beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.3147 secs)
-    beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.3738 secs)
+    beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.3902 secs)
+    beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.4040 secs)
+    beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.3937 secs)
+    beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.3083 secs)
 
 
 
@@ -849,10 +849,10 @@ threshold such that plausible hypotheses are not pruned.
 
  .. code-block:: none
 
-    beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.1562 secs)
-    beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0728 secs)
-    beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.3269 secs)
-    beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.4295 secs)
+    beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0840 secs)
+    beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.1137 secs)
+    beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.3346 secs)
+    beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.3486 secs)
 
 
 
@@ -896,9 +896,9 @@ give more weight to the acoustic model score instead.
 
  .. code-block:: none
 
-    lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.5780 secs)
-    lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.4692 secs)
-    lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.4297 secs)
+    lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.4480 secs)
+    lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.4757 secs)
+    lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.3682 secs)
 
 
 
@@ -919,7 +919,7 @@ Additional parameters that can be optimized include the following
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  16.662 seconds)
+   **Total running time of the script:** ( 3 minutes  18.622 seconds)
 
 
 .. _sphx_glr_download_tutorials_asr_inference_with_ctc_decoder_tutorial.py:
diff --git a/0.12.1/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt b/0.12.1/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt
index 639d92609e..f084d0c50d 100644
--- a/0.12.1/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt
+++ b/0.12.1/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt
@@ -88,9 +88,9 @@ First, we import the modules and download the audio assets we use in this tutori
 
  .. code-block:: none
 
-
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@@ -1305,7 +1305,7 @@ Codec aplied:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  14.010 seconds)
+   **Total running time of the script:** ( 0 minutes  14.318 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_data_augmentation_tutorial.py:
diff --git a/0.12.1/_sources/tutorials/audio_datasets_tutorial.rst.txt b/0.12.1/_sources/tutorials/audio_datasets_tutorial.rst.txt
index 7bffec0397..4a3e50656d 100644
--- a/0.12.1/_sources/tutorials/audio_datasets_tutorial.rst.txt
+++ b/0.12.1/_sources/tutorials/audio_datasets_tutorial.rst.txt
@@ -172,7 +172,7 @@ Here, we show how to use the
 
  .. code-block:: none
 
-
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+
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    100%|##########| 4.49M/4.49M [00:00<00:00, 5.89MB/s]
     <IPython.lib.display.Audio object>
     <IPython.lib.display.Audio object>
     <IPython.lib.display.Audio object>
@@ -183,7 +183,7 @@ Here, we show how to use the
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.034 seconds)
+   **Total running time of the script:** ( 0 minutes  1.943 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_datasets_tutorial.py:
diff --git a/0.12.1/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt b/0.12.1/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt
index 4409c4df80..23084dc911 100644
--- a/0.12.1/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt
+++ b/0.12.1/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt
@@ -316,7 +316,7 @@ FrequencyMasking
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.877 seconds)
+   **Total running time of the script:** ( 0 minutes  1.788 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_feature_augmentation_tutorial.py:
diff --git a/0.12.1/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt b/0.12.1/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt
index 38ba7d1be3..c3b2e6056b 100644
--- a/0.12.1/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt
+++ b/0.12.1/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt
@@ -876,7 +876,7 @@ and it is available as :py:func:`torchaudio.functional.compute_kaldi_pitch`.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  7.207 seconds)
+   **Total running time of the script:** ( 0 minutes  6.272 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_feature_extractions_tutorial.py:
diff --git a/0.12.1/_sources/tutorials/audio_io_tutorial.rst.txt b/0.12.1/_sources/tutorials/audio_io_tutorial.rst.txt
index e23a52494c..a111795d0f 100644
--- a/0.12.1/_sources/tutorials/audio_io_tutorial.rst.txt
+++ b/0.12.1/_sources/tutorials/audio_io_tutorial.rst.txt
@@ -96,9 +96,9 @@ First, we import the modules and download the audio assets we use in this tutori
 
  .. code-block:: none
 
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+
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@@ -452,7 +452,7 @@ The following examples illustrate this.
 
  .. code-block:: none
 
-
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@@ -635,7 +635,7 @@ the provided data fit
  .. code-block:: none
 
     ----------
-    Source: /tmp/tmpsaca1umy/save_example_default.wav
+    Source: /tmp/tmpqytfyo0t/save_example_default.wav
     ----------
      - File size: 217658 bytes
      - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=32, encoding=PCM_F)
@@ -668,7 +668,7 @@ The resulting file occupies half the storage but loses precision
  .. code-block:: none
 
     ----------
-    Source: /tmp/tmps_6bvvwb/save_example_PCM_S16.wav
+    Source: /tmp/tmplij5hkl4/save_example_PCM_S16.wav
     ----------
      - File size: 108844 bytes
      - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=16, encoding=PCM_S)
@@ -724,37 +724,37 @@ To name a few:
  .. code-block:: none
 
     ----------
-    Source: /tmp/tmpfdz7yaip/save_example.flac
+    Source: /tmp/tmp2057vo77/save_example.flac
     ----------
      - File size: 37141 bytes
      - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=24, encoding=FLAC)
 
     ----------
-    Source: /tmp/tmpfdz7yaip/save_example.vorbis
+    Source: /tmp/tmp2057vo77/save_example.vorbis
     ----------
      - File size: 12588 bytes
      - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=0, encoding=VORBIS)
 
     ----------
-    Source: /tmp/tmpfdz7yaip/save_example.sph
+    Source: /tmp/tmp2057vo77/save_example.sph
     ----------
      - File size: 109824 bytes
      - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=32, encoding=PCM_S)
 
     ----------
-    Source: /tmp/tmpfdz7yaip/save_example.amb
+    Source: /tmp/tmp2057vo77/save_example.amb
     ----------
      - File size: 108858 bytes
      - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=32, encoding=PCM_F)
 
     ----------
-    Source: /tmp/tmpfdz7yaip/save_example.amr-nb
+    Source: /tmp/tmp2057vo77/save_example.amr-nb
     ----------
      - File size: 2008 bytes
      - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=0, encoding=AMR_NB)
 
     ----------
-    Source: /tmp/tmpfdz7yaip/save_example.gsm
+    Source: /tmp/tmp2057vo77/save_example.gsm
     ----------
      - File size: 5610 bytes
      - AudioMetaData(sample_rate=8000, num_frames=0, num_channels=1, bits_per_sample=0, encoding=GSM)
@@ -803,7 +803,7 @@ required.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.810 seconds)
+   **Total running time of the script:** ( 0 minutes  2.095 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_io_tutorial.py:
diff --git a/0.12.1/_sources/tutorials/audio_resampling_tutorial.rst.txt b/0.12.1/_sources/tutorials/audio_resampling_tutorial.rst.txt
index c834823196..e91ef5a696 100644
--- a/0.12.1/_sources/tutorials/audio_resampling_tutorial.rst.txt
+++ b/0.12.1/_sources/tutorials/audio_resampling_tutorial.rst.txt
@@ -810,34 +810,34 @@ To elaborate on the results:
     librosa: 0.9.2
                     downsample (48 -> 44.1 kHz) time (ms)                      
                                                   librosa functional transforms
-    sinc (width 64)                                   NaN      25.22       0.47
-    sinc (width 16)                                   NaN      35.48       0.38
-    kaiser_best                                     33.13      26.47       0.45
-    kaiser_fast                                     17.98      20.25       0.38
+    sinc (width 64)                                   NaN      35.79       0.43
+    sinc (width 16)                                   NaN      26.77       0.45
+    kaiser_best                                     57.25      27.38       0.53
+    kaiser_fast                                     19.67      36.56       0.46
     torchaudio: 0.12.1
     librosa: 0.9.2
                     downsample (16 -> 8 kHz) time (ms)                      
                                                librosa functional transforms
-    sinc (width 64)                                NaN       1.11       0.76
-    sinc (width 16)                                NaN       0.56       0.34
-    kaiser_best                                  12.42       1.27       2.71
-    kaiser_fast                                   4.34       0.72       0.38
+    sinc (width 64)                                NaN       1.21       0.85
+    sinc (width 16)                                NaN       0.70       0.38
+    kaiser_best                                  29.19       7.09      13.77
+    kaiser_fast                                   6.63       0.86       1.35
     torchaudio: 0.12.1
     librosa: 0.9.2
                     upsample (44.1 -> 48 kHz) time (ms)                      
                                                 librosa functional transforms
-    sinc (width 64)                                 NaN      33.37       0.46
-    sinc (width 16)                                 NaN      36.13       0.39
-    kaiser_best                                   33.39      26.42       0.46
-    kaiser_fast                                   18.12      21.50       0.39
+    sinc (width 64)                                 NaN      38.06       0.48
+    sinc (width 16)                                 NaN      28.19       0.39
+    kaiser_best                                   33.69      28.36       0.44
+    kaiser_fast                                   10.11      25.23       0.39
     torchaudio: 0.12.1
     librosa: 0.9.2
                     upsample (8 -> 16 kHz) time (ms)                      
                                              librosa functional transforms
-    sinc (width 64)                              NaN       6.29       0.39
-    sinc (width 16)                              NaN       0.53       0.21
-    kaiser_best                                12.75       0.94       0.39
-    kaiser_fast                                 6.26       0.73       0.23
+    sinc (width 64)                              NaN       0.79       0.36
+    sinc (width 16)                              NaN       0.51       0.20
+    kaiser_best                                21.12       0.96       0.37
+    kaiser_fast                                 4.58       0.68       0.29
 
 
 
@@ -845,7 +845,7 @@ To elaborate on the results:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  5.029 seconds)
+   **Total running time of the script:** ( 0 minutes  6.002 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_resampling_tutorial.py:
diff --git a/0.12.1/_sources/tutorials/forced_alignment_tutorial.rst.txt b/0.12.1/_sources/tutorials/forced_alignment_tutorial.rst.txt
index b530f025d9..bc64d50ba9 100644
--- a/0.12.1/_sources/tutorials/forced_alignment_tutorial.rst.txt
+++ b/0.12.1/_sources/tutorials/forced_alignment_tutorial.rst.txt
@@ -1210,7 +1210,7 @@ perform CTC segmentation for forced alignment.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  3.023 seconds)
+   **Total running time of the script:** ( 0 minutes  3.601 seconds)
 
 
 .. _sphx_glr_download_tutorials_forced_alignment_tutorial.py:
diff --git a/0.12.1/_sources/tutorials/mvdr_tutorial.rst.txt b/0.12.1/_sources/tutorials/mvdr_tutorial.rst.txt
index 3e279de5d7..ac6df49b08 100644
--- a/0.12.1/_sources/tutorials/mvdr_tutorial.rst.txt
+++ b/0.12.1/_sources/tutorials/mvdr_tutorial.rst.txt
@@ -156,8 +156,8 @@ which was generated with:
 
  .. code-block:: none
 
-
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-
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+
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+
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    100%|##########| 1.95M/1.95M [00:00<00:00, 85.8MB/s]
 
 
 
@@ -856,7 +856,7 @@ We can then obtain the enhanced waveform by passing this output to the
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.279 seconds)
+   **Total running time of the script:** ( 0 minutes  2.999 seconds)
 
 
 .. _sphx_glr_download_tutorials_mvdr_tutorial.py:
diff --git a/0.12.1/_sources/tutorials/online_asr_tutorial.rst.txt b/0.12.1/_sources/tutorials/online_asr_tutorial.rst.txt
index 9eb290f67b..f50f4d9c60 100644
--- a/0.12.1/_sources/tutorials/online_asr_tutorial.rst.txt
+++ b/0.12.1/_sources/tutorials/online_asr_tutorial.rst.txt
@@ -144,9 +144,9 @@ which is a Emformer RNN-T model trained on LibriSpeech dataset.
 
  .. code-block:: none
 
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@@ -572,7 +572,7 @@ repeatedly.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  50.720 seconds)
+   **Total running time of the script:** ( 2 minutes  23.720 seconds)
 
 
 .. _sphx_glr_download_tutorials_online_asr_tutorial.py:
diff --git a/0.12.1/_sources/tutorials/sg_execution_times.rst.txt b/0.12.1/_sources/tutorials/sg_execution_times.rst.txt
index 1db00d7ba6..4549914f10 100644
--- a/0.12.1/_sources/tutorials/sg_execution_times.rst.txt
+++ b/0.12.1/_sources/tutorials/sg_execution_times.rst.txt
@@ -5,36 +5,36 @@
 
 Computation times
 =================
-**12:41.471** total execution time for **tutorials** files:
+**12:11.513** total execution time for **tutorials** files:
 
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_tacotron2_pipeline_tutorial.py` (``tacotron2_pipeline_tutorial.py``)                         | 05:14.758 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_tacotron2_pipeline_tutorial.py` (``tacotron2_pipeline_tutorial.py``)                         | 05:08.685 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_asr_inference_with_ctc_decoder_tutorial.py` (``asr_inference_with_ctc_decoder_tutorial.py``) | 03:16.662 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_asr_inference_with_ctc_decoder_tutorial.py` (``asr_inference_with_ctc_decoder_tutorial.py``) | 03:18.622 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_online_asr_tutorial.py` (``online_asr_tutorial.py``)                                         | 02:50.720 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_online_asr_tutorial.py` (``online_asr_tutorial.py``)                                         | 02:23.720 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_streaming_api_tutorial.py` (``streaming_api_tutorial.py``)                                   | 00:20.039 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_streaming_api_tutorial.py` (``streaming_api_tutorial.py``)                                   | 00:19.253 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_data_augmentation_tutorial.py` (``audio_data_augmentation_tutorial.py``)               | 00:14.010 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_data_augmentation_tutorial.py` (``audio_data_augmentation_tutorial.py``)               | 00:14.318 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_speech_recognition_pipeline_tutorial.py` (``speech_recognition_pipeline_tutorial.py``)       | 00:11.418 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_speech_recognition_pipeline_tutorial.py` (``speech_recognition_pipeline_tutorial.py``)       | 00:12.106 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_streaming_api2_tutorial.py` (``streaming_api2_tutorial.py``)                                 | 00:10.604 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_streaming_api2_tutorial.py` (``streaming_api2_tutorial.py``)                                 | 00:10.110 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_feature_extractions_tutorial.py` (``audio_feature_extractions_tutorial.py``)           | 00:07.207 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_feature_extractions_tutorial.py` (``audio_feature_extractions_tutorial.py``)           | 00:06.272 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_resampling_tutorial.py` (``audio_resampling_tutorial.py``)                             | 00:05.029 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_resampling_tutorial.py` (``audio_resampling_tutorial.py``)                             | 00:06.002 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_forced_alignment_tutorial.py` (``forced_alignment_tutorial.py``)                             | 00:03.023 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_forced_alignment_tutorial.py` (``forced_alignment_tutorial.py``)                             | 00:03.601 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_mvdr_tutorial.py` (``mvdr_tutorial.py``)                                                     | 00:02.279 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_mvdr_tutorial.py` (``mvdr_tutorial.py``)                                                     | 00:02.999 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_datasets_tutorial.py` (``audio_datasets_tutorial.py``)                                 | 00:02.034 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_io_tutorial.py` (``audio_io_tutorial.py``)                                             | 00:02.095 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_feature_augmentation_tutorial.py` (``audio_feature_augmentation_tutorial.py``)         | 00:01.877 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_datasets_tutorial.py` (``audio_datasets_tutorial.py``)                                 | 00:01.943 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_io_tutorial.py` (``audio_io_tutorial.py``)                                             | 00:01.810 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_feature_augmentation_tutorial.py` (``audio_feature_augmentation_tutorial.py``)         | 00:01.788 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorials_device_asr.py` (``device_asr.py``)                                                           | 00:00.000 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/0.12.1/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt b/0.12.1/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt
index 625041d35d..359f9c235c 100644
--- a/0.12.1/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt
+++ b/0.12.1/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt
@@ -184,7 +184,7 @@ fetch the pre-trained weights and load it into the model.
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ls960.pth" to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ls960.pth
-
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     <class 'torchaudio.models.wav2vec2.model.Wav2Vec2Model'>
 
 
@@ -544,7 +544,7 @@ a model and getting the emission is as short as two lines.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  11.418 seconds)
+   **Total running time of the script:** ( 0 minutes  12.106 seconds)
 
 
 .. _sphx_glr_download_tutorials_speech_recognition_pipeline_tutorial.py:
diff --git a/0.12.1/_sources/tutorials/streaming_api2_tutorial.rst.txt b/0.12.1/_sources/tutorials/streaming_api2_tutorial.rst.txt
index 4bff44cb11..e4698d193b 100644
--- a/0.12.1/_sources/tutorials/streaming_api2_tutorial.rst.txt
+++ b/0.12.1/_sources/tutorials/streaming_api2_tutorial.rst.txt
@@ -856,7 +856,7 @@ Pixel manipulation
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  10.604 seconds)
+   **Total running time of the script:** ( 0 minutes  10.110 seconds)
 
 
 .. _sphx_glr_download_tutorials_streaming_api2_tutorial.py:
diff --git a/0.12.1/_sources/tutorials/streaming_api_tutorial.rst.txt b/0.12.1/_sources/tutorials/streaming_api_tutorial.rst.txt
index e4bbde64d8..edaf45eef1 100644
--- a/0.12.1/_sources/tutorials/streaming_api_tutorial.rst.txt
+++ b/0.12.1/_sources/tutorials/streaming_api_tutorial.rst.txt
@@ -888,7 +888,7 @@ Let's visualize what we received.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  20.039 seconds)
+   **Total running time of the script:** ( 0 minutes  19.253 seconds)
 
 
 .. _sphx_glr_download_tutorials_streaming_api_tutorial.py:
diff --git a/0.12.1/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt b/0.12.1/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt
index b43077369a..821925c903 100644
--- a/0.12.1/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt
+++ b/0.12.1/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt
@@ -298,7 +298,7 @@ fetched.
 
  .. code-block:: none
 
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     tensor([[54, 20, 65, 69, 11, 92, 44, 65, 38,  2, 11, 81, 40, 64, 79, 81, 11, 81,
              20, 11, 79, 77, 59, 37,  2]])
     tensor([25], dtype=torch.int32)
@@ -389,9 +389,9 @@ For the available bundles, and its usage, please refer to :py:mod:`torchaudio.pi
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth" to /root/.cache/torch/hub/checkpoints/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth
-
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    100%|##########| 107M/107M [00:01<00:00, 81.2MB/s] 
 
-    <matplotlib.image.AxesImage object at 0x7f8a9c36c4f0>
+    <matplotlib.image.AxesImage object at 0x7f30ec5a7b50>
 
 
 
@@ -498,7 +498,7 @@ WaveRNN model from the same bundle.
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/wavernn_10k_epochs_8bits_ljspeech.pth" to /root/.cache/torch/hub/checkpoints/wavernn_10k_epochs_8bits_ljspeech.pth
-
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    100%|##########| 16.7M/16.7M [00:00<00:00, 188MB/s]
+
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    100%|##########| 16.7M/16.7M [00:00<00:00, 99.3MB/s]
 
 
 .. raw:: html
@@ -567,7 +567,7 @@ the vocode object with ``get_vocoder`` method and pass the spectrogram.
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/tacotron2_english_phonemes_1500_epochs_ljspeech.pth" to /root/.cache/torch/hub/checkpoints/tacotron2_english_phonemes_1500_epochs_ljspeech.pth
-
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+
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    100%|##########| 107M/107M [00:01<00:00, 60.4MB/s]
 
 
 .. raw:: html
@@ -666,7 +666,7 @@ module.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  14.758 seconds)
+   **Total running time of the script:** ( 5 minutes  8.685 seconds)
 
 
 .. _sphx_glr_download_tutorials_tacotron2_pipeline_tutorial.py:
diff --git a/0.12.1/_static/css/custom.css b/0.12.1/_static/css/custom.css
index a70c3d54c3..d9f68fff7a 100644
--- a/0.12.1/_static/css/custom.css
+++ b/0.12.1/_static/css/custom.css
@@ -15,3 +15,19 @@ article.pytorch-article img.shield-badge {
     margin-top: -18px;
     margin-bottom: 9px;
 }
+/* Fix for Sphinx gallery 0.11
+See https://github.com/sphinx-gallery/sphinx-gallery/issues/990
+*/
+article.pytorch-article .sphx-glr-thumbnails .sphx-glr-thumbcontainer {
+    width: unset;
+    margin-right: 0;
+    margin-left: 0;
+}
+article.pytorch-article .sphx-glr-thumbnails {
+    display: flex;
+    grid-template-columns: none;
+}
+article.pytorch-article .sphx-glr-thumbnails .sphx-glr-thumbnails {
+    display: grid;
+    grid-template-columns: repeat(auto-fill, minmax(160px, 1fr));
+}
diff --git a/0.12.1/hw_acceleration_tutorial.html b/0.12.1/hw_acceleration_tutorial.html
index a7573b4a64..0375ec38fe 100644
--- a/0.12.1/hw_acceleration_tutorial.html
+++ b/0.12.1/hw_acceleration_tutorial.html
@@ -587,7 +587,6 @@
 }
 
 /* Some additional styling taken form the Jupyter notebook CSS */
-.jp-RenderedHTMLCommon table,
 div.rendered_html table {
   border: none;
   border-collapse: collapse;
@@ -596,14 +595,10 @@
   font-size: 12px;
   table-layout: fixed;
 }
-.jp-RenderedHTMLCommon thead,
 div.rendered_html thead {
   border-bottom: 1px solid black;
   vertical-align: bottom;
 }
-.jp-RenderedHTMLCommon tr,
-.jp-RenderedHTMLCommon th,
-.jp-RenderedHTMLCommon td,
 div.rendered_html tr,
 div.rendered_html th,
 div.rendered_html td {
@@ -615,15 +610,12 @@
   max-width: none;
   border: none;
 }
-.jp-RenderedHTMLCommon th,
 div.rendered_html th {
   font-weight: bold;
 }
-.jp-RenderedHTMLCommon tbody tr:nth-child(odd),
 div.rendered_html tbody tr:nth-child(odd) {
   background: #f5f5f5;
 }
-.jp-RenderedHTMLCommon tbody tr:hover,
 div.rendered_html tbody tr:hover {
   background: rgba(66, 165, 245, 0.2);
 }
diff --git a/0.12.1/searchindex.js b/0.12.1/searchindex.js
index 155df96bb2..79197d50d1 100644
--- a/0.12.1/searchindex.js
+++ b/0.12.1/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/0.12.1/tutorials/asr_inference_with_ctc_decoder_tutorial.html b/0.12.1/tutorials/asr_inference_with_ctc_decoder_tutorial.html
index b7b0212890..68e0e524b0 100644
--- a/0.12.1/tutorials/asr_inference_with_ctc_decoder_tutorial.html
+++ b/0.12.1/tutorials/asr_inference_with_ctc_decoder_tutorial.html
@@ -454,55 +454,40 @@ <h3>Acoustic Model and Data<a class="headerlink" href="#acoustic-model-and-data"
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ll10m.pth&quot; to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ll10m.pth
 
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 </pre></div>
 </div>
 <p>We will load a sample from the LibriSpeech test-other dataset.</p>
@@ -517,7 +502,7 @@ <h3>Acoustic Model and Data<a class="headerlink" href="#acoustic-model-and-data"
 </pre></div>
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@@ -606,417 +591,298 @@ <h4>Downloading Pretrained Files<a class="headerlink" href="#downloading-pretrai
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- 48%|####7     | 1.39G/2.91G [00:20&lt;00:24, 67.8MB/s]
- 48%|####7     | 1.39G/2.91G [00:20&lt;00:24, 67.1MB/s]
- 48%|####8     | 1.40G/2.91G [00:20&lt;00:22, 72.2MB/s]
- 48%|####8     | 1.41G/2.91G [00:20&lt;00:21, 75.5MB/s]
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- 49%|####8     | 1.42G/2.91G [00:20&lt;00:22, 71.5MB/s]
- 49%|####9     | 1.43G/2.91G [00:21&lt;00:23, 68.7MB/s]
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- 50%|####9     | 1.45G/2.91G [00:21&lt;00:22, 68.9MB/s]
- 50%|#####     | 1.46G/2.91G [00:21&lt;00:22, 68.4MB/s]
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- 51%|#####1    | 1.49G/2.91G [00:21&lt;00:20, 75.6MB/s]
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- 53%|#####3    | 1.54G/2.91G [00:22&lt;00:20, 73.1MB/s]
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- 54%|#####3    | 1.56G/2.91G [00:23&lt;00:20, 72.1MB/s]
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- 54%|#####4    | 1.58G/2.91G [00:23&lt;00:19, 73.0MB/s]
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- 55%|#####5    | 1.60G/2.91G [00:23&lt;00:21, 64.1MB/s]
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- 56%|#####6    | 1.63G/2.91G [00:24&lt;00:23, 59.6MB/s]
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- 58%|#####7    | 1.68G/2.91G [00:25&lt;00:21, 61.0MB/s]
- 58%|#####8    | 1.69G/2.91G [00:25&lt;00:21, 62.1MB/s]
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- 59%|#####8    | 1.71G/2.91G [00:25&lt;00:19, 65.4MB/s]
- 59%|#####8    | 1.71G/2.91G [00:25&lt;00:20, 63.7MB/s]
- 59%|#####9    | 1.72G/2.91G [00:25&lt;00:19, 64.3MB/s]
- 59%|#####9    | 1.73G/2.91G [00:25&lt;00:18, 68.0MB/s]
- 60%|#####9    | 1.73G/2.91G [00:25&lt;00:17, 70.8MB/s]
- 60%|#####9    | 1.74G/2.91G [00:26&lt;00:18, 67.1MB/s]
- 60%|######    | 1.75G/2.91G [00:26&lt;00:17, 70.5MB/s]
- 60%|######    | 1.76G/2.91G [00:26&lt;00:17, 71.7MB/s]
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- 61%|######1   | 1.78G/2.91G [00:26&lt;00:17, 70.9MB/s]
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- 62%|######2   | 1.81G/2.91G [00:26&lt;00:16, 73.9MB/s]
- 62%|######2   | 1.81G/2.91G [00:27&lt;00:16, 72.5MB/s]
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- 63%|######3   | 1.83G/2.91G [00:27&lt;00:16, 70.1MB/s]
- 63%|######3   | 1.84G/2.91G [00:27&lt;00:15, 72.9MB/s]
- 64%|######3   | 1.85G/2.91G [00:27&lt;00:16, 70.4MB/s]
- 64%|######3   | 1.86G/2.91G [00:27&lt;00:15, 73.2MB/s]
- 64%|######4   | 1.86G/2.91G [00:27&lt;00:17, 63.6MB/s]
- 64%|######4   | 1.87G/2.91G [00:27&lt;00:18, 60.2MB/s]
- 64%|######4   | 1.88G/2.91G [00:28&lt;00:18, 59.0MB/s]
- 65%|######4   | 1.88G/2.91G [00:28&lt;00:17, 62.5MB/s]
- 65%|######4   | 1.89G/2.91G [00:28&lt;00:16, 66.3MB/s]
- 65%|######5   | 1.90G/2.91G [00:28&lt;00:15, 70.1MB/s]
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- 66%|######5   | 1.91G/2.91G [00:28&lt;00:15, 69.3MB/s]
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- 66%|######6   | 1.93G/2.91G [00:28&lt;00:14, 73.4MB/s]
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- 70%|#######   | 2.04G/2.91G [00:30&lt;00:12, 76.1MB/s]
- 70%|#######   | 2.04G/2.91G [00:30&lt;00:11, 77.5MB/s]
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- 71%|#######   | 2.06G/2.91G [00:30&lt;00:11, 79.4MB/s]
- 71%|#######1  | 2.07G/2.91G [00:30&lt;00:11, 78.3MB/s]
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- 72%|#######1  | 2.08G/2.91G [00:30&lt;00:11, 79.5MB/s]
- 72%|#######1  | 2.09G/2.91G [00:31&lt;00:10, 80.9MB/s]
- 72%|#######2  | 2.10G/2.91G [00:31&lt;00:11, 76.6MB/s]
- 72%|#######2  | 2.11G/2.91G [00:31&lt;00:11, 75.3MB/s]
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- 73%|#######2  | 2.12G/2.91G [00:31&lt;00:10, 79.0MB/s]
- 73%|#######3  | 2.13G/2.91G [00:31&lt;00:10, 79.0MB/s]
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- 74%|#######4  | 2.16G/2.91G [00:32&lt;00:09, 80.8MB/s]
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- 75%|#######5  | 2.19G/2.91G [00:32&lt;00:09, 79.1MB/s]
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- 76%|#######6  | 2.21G/2.91G [00:32&lt;00:09, 81.8MB/s]
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- 77%|#######6  | 2.23G/2.91G [00:33&lt;00:10, 71.9MB/s]
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- 80%|########  | 2.33G/2.91G [00:34&lt;00:08, 74.3MB/s]
- 80%|########  | 2.34G/2.91G [00:34&lt;00:08, 76.3MB/s]
- 81%|########  | 2.35G/2.91G [00:34&lt;00:07, 76.8MB/s]
- 81%|########  | 2.36G/2.91G [00:34&lt;00:07, 78.5MB/s]
- 81%|########1 | 2.36G/2.91G [00:35&lt;00:09, 64.4MB/s]
- 81%|########1 | 2.37G/2.91G [00:35&lt;00:08, 68.2MB/s]
- 82%|########1 | 2.38G/2.91G [00:35&lt;00:08, 71.4MB/s]
- 82%|########1 | 2.38G/2.91G [00:35&lt;00:07, 74.4MB/s]
- 82%|########2 | 2.39G/2.91G [00:35&lt;00:07, 74.3MB/s]
- 82%|########2 | 2.40G/2.91G [00:35&lt;00:07, 77.0MB/s]
- 83%|########2 | 2.41G/2.91G [00:35&lt;00:07, 76.7MB/s]
- 83%|########2 | 2.41G/2.91G [00:35&lt;00:07, 76.0MB/s]
- 83%|########3 | 2.42G/2.91G [00:35&lt;00:06, 78.0MB/s]
- 83%|########3 | 2.43G/2.91G [00:36&lt;00:07, 69.5MB/s]
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- 84%|########4 | 2.45G/2.91G [00:36&lt;00:06, 70.5MB/s]
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- 86%|########6 | 2.51G/2.91G [00:37&lt;00:05, 72.2MB/s]
- 86%|########6 | 2.52G/2.91G [00:37&lt;00:05, 74.6MB/s]
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- 87%|########6 | 2.53G/2.91G [00:37&lt;00:06, 61.7MB/s]
- 87%|########7 | 2.54G/2.91G [00:37&lt;00:06, 63.9MB/s]
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- 88%|########7 | 2.56G/2.91G [00:38&lt;00:05, 70.7MB/s]
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-100%|#########9| 2.90G/2.91G [00:43&lt;00:00, 74.0MB/s]
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-100%|##########| 2.91G/2.91G [00:43&lt;00:00, 72.3MB/s]
+  0%|          | 12.1M/2.91G [00:00&lt;00:24, 127MB/s]
+  1%|          | 24.3M/2.91G [00:00&lt;00:32, 96.0MB/s]
+  1%|1         | 33.9M/2.91G [00:00&lt;00:46, 66.9MB/s]
+  2%|1         | 46.8M/2.91G [00:00&lt;00:45, 68.3MB/s]
+  2%|1         | 53.8M/2.91G [00:00&lt;00:53, 56.9MB/s]
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+  2%|2         | 69.0M/2.91G [00:01&lt;00:54, 55.8MB/s]
+  3%|2         | 79.7M/2.91G [00:01&lt;00:58, 52.1MB/s]
+  3%|2         | 84.9M/2.91G [00:01&lt;00:58, 51.5MB/s]
+  3%|3         | 96.0M/2.91G [00:01&lt;00:46, 64.5MB/s]
+  4%|3         | 111M/2.91G [00:01&lt;00:45, 66.1MB/s]
+  4%|3         | 117M/2.91G [00:01&lt;00:45, 66.4MB/s]
+  4%|4         | 127M/2.91G [00:02&lt;00:41, 71.9MB/s]
+  4%|4         | 134M/2.91G [00:02&lt;00:46, 64.2MB/s]
+  5%|4         | 142M/2.91G [00:02&lt;00:42, 69.4MB/s]
+  5%|5         | 149M/2.91G [00:02&lt;00:43, 68.9MB/s]
+  5%|5         | 159M/2.91G [00:02&lt;00:42, 70.1MB/s]
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+  6%|5         | 179M/2.91G [00:02&lt;00:37, 77.6MB/s]
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+  7%|6         | 198M/2.91G [00:03&lt;00:40, 71.2MB/s]
+  7%|6         | 208M/2.91G [00:03&lt;00:38, 74.6MB/s]
+  8%|7         | 224M/2.91G [00:03&lt;00:32, 88.5MB/s]
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+  8%|8         | 252M/2.91G [00:03&lt;00:32, 88.2MB/s]
+  9%|8         | 260M/2.91G [00:03&lt;00:39, 71.5MB/s]
+  9%|8         | 268M/2.91G [00:03&lt;00:40, 71.0MB/s]
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 PretrainedFiles(lexicon=&#39;/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lexicon.txt&#39;, tokens=&#39;/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/tokens.txt&#39;, lm=&#39;/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lm.bin&#39;)
 </pre></div>
 </div>
@@ -1243,10 +1109,10 @@ <h3>beam size<a class="headerlink" href="#beam-size" title="Permalink to this he
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;beam size&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">beam_size</span></a><span class="p">)</span>
 </pre></div>
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-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.0999 secs)
-beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0634 secs)
-beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2466 secs)
-beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.7355 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.0889 secs)
+beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0611 secs)
+beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2769 secs)
+beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.8067 secs)
 </pre></div>
 </div>
 </div>
@@ -1272,10 +1138,10 @@ <h3>beam size token<a class="headerlink" href="#beam-size-token" title="Permalin
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;beam size token&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">beam_size_token</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.3358 secs)
-beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.2273 secs)
-beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.3147 secs)
-beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.3738 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.3902 secs)
+beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.4040 secs)
+beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.3937 secs)
+beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.3083 secs)
 </pre></div>
 </div>
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@@ -1302,10 +1168,10 @@ <h3>beam threshold<a class="headerlink" href="#beam-threshold" title="Permalink
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;beam threshold&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">beam_threshold</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.1562 secs)
-beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0728 secs)
-beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.3269 secs)
-beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.4295 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0840 secs)
+beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.1137 secs)
+beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.3346 secs)
+beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.3486 secs)
 </pre></div>
 </div>
 </div>
@@ -1330,9 +1196,9 @@ <h3>language model weight<a class="headerlink" href="#language-model-weight" tit
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;lm weight&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lm_weight</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.5780 secs)
-lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.4692 secs)
-lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.4297 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.4480 secs)
+lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.4757 secs)
+lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.3682 secs)
 </pre></div>
 </div>
 </div>
@@ -1345,7 +1211,7 @@ <h3>additional parameters<a class="headerlink" href="#additional-parameters" tit
 <li><p><code class="docutils literal notranslate"><span class="pre">sil_score</span></code>: silence appearance score to add</p></li>
 <li><p><code class="docutils literal notranslate"><span class="pre">log_add</span></code>: whether to use log add for lexicon Trie smearing</p></li>
 </ul>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  18.622 seconds)</p>
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diff --git a/0.12.1/tutorials/audio_data_augmentation_tutorial.html b/0.12.1/tutorials/audio_data_augmentation_tutorial.html
index a50e50be77..f77d90c7af 100644
--- a/0.12.1/tutorials/audio_data_augmentation_tutorial.html
+++ b/0.12.1/tutorials/audio_data_augmentation_tutorial.html
@@ -412,13 +412,13 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 </pre></div>
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@@ -997,7 +997,7 @@ <h3>Codec aplied:<a class="headerlink" href="#codec-aplied" title="Permalink to
 
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diff --git a/0.12.1/tutorials/audio_datasets_tutorial.html b/0.12.1/tutorials/audio_datasets_tutorial.html
index a585b8e152..98b1598dac 100644
--- a/0.12.1/tutorials/audio_datasets_tutorial.html
+++ b/0.12.1/tutorials/audio_datasets_tutorial.html
@@ -465,18 +465,17 @@ <h2>Preparing data and utility functions (skip this section)<a class="headerlink
 <li><img src="../_images/sphx_glr_audio_datasets_tutorial_003.png" srcset="../_images/sphx_glr_audio_datasets_tutorial_003.png" alt="Sample 5: [0, 0, 1, 0, 0, 1, 1, 1]" class = "sphx-glr-multi-img"/></li>
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+ 58%|#####8    | 2.61M/4.49M [00:00&lt;00:00, 5.56MB/s]
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 &lt;IPython.lib.display.Audio object&gt;
 &lt;IPython.lib.display.Audio object&gt;
 &lt;IPython.lib.display.Audio object&gt;
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diff --git a/0.12.1/tutorials/audio_feature_augmentation_tutorial.html b/0.12.1/tutorials/audio_feature_augmentation_tutorial.html
index 66eba53cc6..bb16dd4002 100644
--- a/0.12.1/tutorials/audio_feature_augmentation_tutorial.html
+++ b/0.12.1/tutorials/audio_feature_augmentation_tutorial.html
@@ -548,7 +548,7 @@ <h2>FrequencyMasking<a class="headerlink" href="#frequencymasking" title="Permal
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 <li><img src="../_images/sphx_glr_audio_feature_augmentation_tutorial_007.png" srcset="../_images/sphx_glr_audio_feature_augmentation_tutorial_007.png" alt="Masked along frequency axis" class = "sphx-glr-multi-img"/></li>
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 <p><a class="reference download internal" download="" href="../_downloads/990b89939a1ec55aa67059703f290ab8/audio_feature_augmentation_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_feature_augmentation_tutorial.py</span></code></a></p>
diff --git a/0.12.1/tutorials/audio_feature_extractions_tutorial.html b/0.12.1/tutorials/audio_feature_extractions_tutorial.html
index 5d34439d9f..18ef888666 100644
--- a/0.12.1/tutorials/audio_feature_extractions_tutorial.html
+++ b/0.12.1/tutorials/audio_feature_extractions_tutorial.html
@@ -803,7 +803,7 @@ <h2>Kaldi Pitch (beta)<a class="headerlink" href="#kaldi-pitch-beta" title="Perm
 <span class="n">plot_kaldi_pitch</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">SPEECH_WAVEFORM</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">SAMPLE_RATE</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pitch</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">nfcc</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" srcset="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" alt="Kaldi Pitch Feature" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  7.207 seconds)</p>
+<img src="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" srcset="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" alt="Kaldi Pitch Feature" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  6.272 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-feature-extractions-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/0face80178ed0d1cefd2a173a7262afb/audio_feature_extractions_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_feature_extractions_tutorial.py</span></code></a></p>
diff --git a/0.12.1/tutorials/audio_io_tutorial.html b/0.12.1/tutorials/audio_io_tutorial.html
index 5fe72246b4..5c4db99997 100644
--- a/0.12.1/tutorials/audio_io_tutorial.html
+++ b/0.12.1/tutorials/audio_io_tutorial.html
@@ -422,13 +422,13 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/7.99k [00:00&lt;?, ?B/s]
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+100%|##########| 7.99k/7.99k [00:00&lt;00:00, 4.51MB/s]
 
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+100%|##########| 53.2k/53.2k [00:00&lt;00:00, 15.8MB/s]
 </pre></div>
 </div>
 </div>
@@ -599,7 +599,7 @@ <h2>Loading from file-like object<a class="headerlink" href="#loading-from-file-
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_audio_io_tutorial_004.png" srcset="../_images/sphx_glr_audio_io_tutorial_004.png" alt="TAR file" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/110k [00:00&lt;?, ?B/s]
-100%|##########| 110k/110k [00:00&lt;00:00, 47.0MB/s]
+100%|##########| 110k/110k [00:00&lt;00:00, 22.0MB/s]
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># Load audio from S3</span>
@@ -695,7 +695,7 @@ <h2>Saving audio to file<a class="headerlink" href="#saving-audio-to-file" title
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>----------
-Source: /tmp/tmpsaca1umy/save_example_default.wav
+Source: /tmp/tmpqytfyo0t/save_example_default.wav
 ----------
  - File size: 217658 bytes
  - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=32, encoding=PCM_F)
@@ -710,7 +710,7 @@ <h2>Saving audio to file<a class="headerlink" href="#saving-audio-to-file" title
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>----------
-Source: /tmp/tmps_6bvvwb/save_example_PCM_S16.wav
+Source: /tmp/tmplij5hkl4/save_example_PCM_S16.wav
 ----------
  - File size: 108844 bytes
  - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=16, encoding=PCM_S)
@@ -737,37 +737,37 @@ <h2>Saving audio to file<a class="headerlink" href="#saving-audio-to-file" title
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>----------
-Source: /tmp/tmpfdz7yaip/save_example.flac
+Source: /tmp/tmp2057vo77/save_example.flac
 ----------
  - File size: 37141 bytes
  - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=24, encoding=FLAC)
 
 ----------
-Source: /tmp/tmpfdz7yaip/save_example.vorbis
+Source: /tmp/tmp2057vo77/save_example.vorbis
 ----------
  - File size: 12588 bytes
  - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=0, encoding=VORBIS)
 
 ----------
-Source: /tmp/tmpfdz7yaip/save_example.sph
+Source: /tmp/tmp2057vo77/save_example.sph
 ----------
  - File size: 109824 bytes
  - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=32, encoding=PCM_S)
 
 ----------
-Source: /tmp/tmpfdz7yaip/save_example.amb
+Source: /tmp/tmp2057vo77/save_example.amb
 ----------
  - File size: 108858 bytes
  - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=32, encoding=PCM_F)
 
 ----------
-Source: /tmp/tmpfdz7yaip/save_example.amr-nb
+Source: /tmp/tmp2057vo77/save_example.amr-nb
 ----------
  - File size: 2008 bytes
  - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=0, encoding=AMR_NB)
 
 ----------
-Source: /tmp/tmpfdz7yaip/save_example.gsm
+Source: /tmp/tmp2057vo77/save_example.gsm
 ----------
  - File size: 5610 bytes
  - AudioMetaData(sample_rate=8000, num_frames=0, num_channels=1, bits_per_sample=0, encoding=GSM)
@@ -792,7 +792,7 @@ <h2>Saving to file-like object<a class="headerlink" href="#saving-to-file-like-o
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>b&#39;RIFF2R\x03\x00WAVEfmt &#39;
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.810 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.095 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-io-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/a50b7a9d7eda039b9579621100be1417/audio_io_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_io_tutorial.py</span></code></a></p>
diff --git a/0.12.1/tutorials/audio_resampling_tutorial.html b/0.12.1/tutorials/audio_resampling_tutorial.html
index adf285513c..010748a01e 100644
--- a/0.12.1/tutorials/audio_resampling_tutorial.html
+++ b/0.12.1/tutorials/audio_resampling_tutorial.html
@@ -839,37 +839,37 @@ <h2>Performance Benchmarking<a class="headerlink" href="#performance-benchmarkin
 librosa: 0.9.2
                 downsample (48 -&gt; 44.1 kHz) time (ms)
                                               librosa functional transforms
-sinc (width 64)                                   NaN      25.22       0.47
-sinc (width 16)                                   NaN      35.48       0.38
-kaiser_best                                     33.13      26.47       0.45
-kaiser_fast                                     17.98      20.25       0.38
+sinc (width 64)                                   NaN      35.79       0.43
+sinc (width 16)                                   NaN      26.77       0.45
+kaiser_best                                     57.25      27.38       0.53
+kaiser_fast                                     19.67      36.56       0.46
 torchaudio: 0.12.1
 librosa: 0.9.2
                 downsample (16 -&gt; 8 kHz) time (ms)
                                            librosa functional transforms
-sinc (width 64)                                NaN       1.11       0.76
-sinc (width 16)                                NaN       0.56       0.34
-kaiser_best                                  12.42       1.27       2.71
-kaiser_fast                                   4.34       0.72       0.38
+sinc (width 64)                                NaN       1.21       0.85
+sinc (width 16)                                NaN       0.70       0.38
+kaiser_best                                  29.19       7.09      13.77
+kaiser_fast                                   6.63       0.86       1.35
 torchaudio: 0.12.1
 librosa: 0.9.2
                 upsample (44.1 -&gt; 48 kHz) time (ms)
                                             librosa functional transforms
-sinc (width 64)                                 NaN      33.37       0.46
-sinc (width 16)                                 NaN      36.13       0.39
-kaiser_best                                   33.39      26.42       0.46
-kaiser_fast                                   18.12      21.50       0.39
+sinc (width 64)                                 NaN      38.06       0.48
+sinc (width 16)                                 NaN      28.19       0.39
+kaiser_best                                   33.69      28.36       0.44
+kaiser_fast                                   10.11      25.23       0.39
 torchaudio: 0.12.1
 librosa: 0.9.2
                 upsample (8 -&gt; 16 kHz) time (ms)
                                          librosa functional transforms
-sinc (width 64)                              NaN       6.29       0.39
-sinc (width 16)                              NaN       0.53       0.21
-kaiser_best                                12.75       0.94       0.39
-kaiser_fast                                 6.26       0.73       0.23
+sinc (width 64)                              NaN       0.79       0.36
+sinc (width 16)                              NaN       0.51       0.20
+kaiser_best                                21.12       0.96       0.37
+kaiser_fast                                 4.58       0.68       0.29
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  5.029 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  6.002 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-resampling-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/59ad7db3945dd23dbc0f8d9eef766370/audio_resampling_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_resampling_tutorial.py</span></code></a></p>
diff --git a/0.12.1/tutorials/forced_alignment_tutorial.html b/0.12.1/tutorials/forced_alignment_tutorial.html
index 1e35aeff18..54815cc860 100644
--- a/0.12.1/tutorials/forced_alignment_tutorial.html
+++ b/0.12.1/tutorials/forced_alignment_tutorial.html
@@ -1151,7 +1151,7 @@ <h3>Visualization<a class="headerlink" href="#id4" title="Permalink to this head
 <h2>Conclusion<a class="headerlink" href="#conclusion" title="Permalink to this headline">¶</a></h2>
 <p>In this tutorial, we looked how to use torchaudio’s Wav2Vec2 model to
 perform CTC segmentation for forced alignment.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.023 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.601 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-forced-alignment-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/fa57890a830bd47c0baa254781b3a8e1/forced_alignment_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">forced_alignment_tutorial.py</span></code></a></p>
diff --git a/0.12.1/tutorials/mvdr_tutorial.html b/0.12.1/tutorials/mvdr_tutorial.html
index ae400debef..6ccfdaba4a 100644
--- a/0.12.1/tutorials/mvdr_tutorial.html
+++ b/0.12.1/tutorials/mvdr_tutorial.html
@@ -457,10 +457,10 @@ <h3>2.2. Download audio data<a class="headerlink" href="#download-audio-data" ti
 </pre></div>
 </div>
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 </pre></div>
 </div>
 </div>
@@ -807,7 +807,7 @@ <h3>6.4. Result for RTFMVDR with <cite>rtf_power</cite><a class="headerlink" hre
 
 </div>
 <br />
-<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.279 seconds)</p>
+<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.999 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-mvdr-tutorial-py">
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 <p><a class="reference download internal" download="" href="../_downloads/50de4231f2cfe5d85bac91915f27f92c/mvdr_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">mvdr_tutorial.py</span></code></a></p>
diff --git a/0.12.1/tutorials/online_asr_tutorial.html b/0.12.1/tutorials/online_asr_tutorial.html
index c2b3d64d38..44174ea581 100644
--- a/0.12.1/tutorials/online_asr_tutorial.html
+++ b/0.12.1/tutorials/online_asr_tutorial.html
@@ -458,53 +458,71 @@ <h2>3. Construct the pipeline<a class="headerlink" href="#construct-the-pipeline
 </pre></div>
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 </pre></div>
 </div>
 <p>Streaming inference works on input data with overlap.
@@ -725,7 +743,7 @@ <h2>5. Run stream inference<a class="headerlink" href="#run-stream-inference" ti
 
 </div>
 <br />
-<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes  50.720 seconds)</p>
+<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes  23.720 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-online-asr-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/f9f593098569966df0b815e29c13dd20/online_asr_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">online_asr_tutorial.py</span></code></a></p>
diff --git a/0.12.1/tutorials/sg_execution_times.html b/0.12.1/tutorials/sg_execution_times.html
index b028e778bf..155d942282 100644
--- a/0.12.1/tutorials/sg_execution_times.html
+++ b/0.12.1/tutorials/sg_execution_times.html
@@ -372,7 +372,7 @@
               
   <div class="section" id="computation-times">
 <span id="sphx-glr-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>12:41.471</strong> total execution time for <strong>tutorials</strong> files:</p>
+<p><strong>12:11.513</strong> total execution time for <strong>tutorials</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 86%" />
@@ -381,59 +381,59 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="tacotron2_pipeline_tutorial.html#sphx-glr-tutorials-tacotron2-pipeline-tutorial-py"><span class="std std-ref">Text-to-Speech with Tacotron2</span></a> (<code class="docutils literal notranslate"><span class="pre">tacotron2_pipeline_tutorial.py</span></code>)</p></td>
-<td><p>05:14.758</p></td>
+<td><p>05:08.685</p></td>
 <td><p>0.0 MB</p></td>
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 <tr class="row-even"><td><p><a class="reference internal" href="asr_inference_with_ctc_decoder_tutorial.html#sphx-glr-tutorials-asr-inference-with-ctc-decoder-tutorial-py"><span class="std std-ref">ASR Inference with CTC Decoder</span></a> (<code class="docutils literal notranslate"><span class="pre">asr_inference_with_ctc_decoder_tutorial.py</span></code>)</p></td>
-<td><p>03:16.662</p></td>
+<td><p>03:18.622</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="online_asr_tutorial.html#sphx-glr-tutorials-online-asr-tutorial-py"><span class="std std-ref">Online ASR with Emformer RNN-T</span></a> (<code class="docutils literal notranslate"><span class="pre">online_asr_tutorial.py</span></code>)</p></td>
-<td><p>02:50.720</p></td>
+<td><p>02:23.720</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="streaming_api_tutorial.html#sphx-glr-tutorials-streaming-api-tutorial-py"><span class="std std-ref">Media Stream API - Pt. 1</span></a> (<code class="docutils literal notranslate"><span class="pre">streaming_api_tutorial.py</span></code>)</p></td>
-<td><p>00:20.039</p></td>
+<td><p>00:19.253</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="audio_data_augmentation_tutorial.html#sphx-glr-tutorials-audio-data-augmentation-tutorial-py"><span class="std std-ref">Audio Data Augmentation</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_data_augmentation_tutorial.py</span></code>)</p></td>
-<td><p>00:14.010</p></td>
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 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="speech_recognition_pipeline_tutorial.html#sphx-glr-tutorials-speech-recognition-pipeline-tutorial-py"><span class="std std-ref">Speech Recognition with Wav2Vec2</span></a> (<code class="docutils literal notranslate"><span class="pre">speech_recognition_pipeline_tutorial.py</span></code>)</p></td>
-<td><p>00:11.418</p></td>
+<td><p>00:12.106</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="streaming_api2_tutorial.html#sphx-glr-tutorials-streaming-api2-tutorial-py"><span class="std std-ref">Media Stream API - Pt. 2</span></a> (<code class="docutils literal notranslate"><span class="pre">streaming_api2_tutorial.py</span></code>)</p></td>
-<td><p>00:10.604</p></td>
+<td><p>00:10.110</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="audio_feature_extractions_tutorial.html#sphx-glr-tutorials-audio-feature-extractions-tutorial-py"><span class="std std-ref">Audio Feature Extractions</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_feature_extractions_tutorial.py</span></code>)</p></td>
-<td><p>00:07.207</p></td>
+<td><p>00:06.272</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="audio_resampling_tutorial.html#sphx-glr-tutorials-audio-resampling-tutorial-py"><span class="std std-ref">Audio Resampling</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_resampling_tutorial.py</span></code>)</p></td>
-<td><p>00:05.029</p></td>
+<td><p>00:06.002</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="forced_alignment_tutorial.html#sphx-glr-tutorials-forced-alignment-tutorial-py"><span class="std std-ref">Forced Alignment with Wav2Vec2</span></a> (<code class="docutils literal notranslate"><span class="pre">forced_alignment_tutorial.py</span></code>)</p></td>
-<td><p>00:03.023</p></td>
+<td><p>00:03.601</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="mvdr_tutorial.html#sphx-glr-tutorials-mvdr-tutorial-py"><span class="std std-ref">Speech Enhancement with MVDR Beamforming</span></a> (<code class="docutils literal notranslate"><span class="pre">mvdr_tutorial.py</span></code>)</p></td>
-<td><p>00:02.279</p></td>
+<td><p>00:02.999</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="audio_datasets_tutorial.html#sphx-glr-tutorials-audio-datasets-tutorial-py"><span class="std std-ref">Audio Datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_datasets_tutorial.py</span></code>)</p></td>
-<td><p>00:02.034</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="audio_io_tutorial.html#sphx-glr-tutorials-audio-io-tutorial-py"><span class="std std-ref">Audio I/O</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_io_tutorial.py</span></code>)</p></td>
+<td><p>00:02.095</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="audio_feature_augmentation_tutorial.html#sphx-glr-tutorials-audio-feature-augmentation-tutorial-py"><span class="std std-ref">Audio Feature Augmentation</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_feature_augmentation_tutorial.py</span></code>)</p></td>
-<td><p>00:01.877</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="audio_datasets_tutorial.html#sphx-glr-tutorials-audio-datasets-tutorial-py"><span class="std std-ref">Audio Datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_datasets_tutorial.py</span></code>)</p></td>
+<td><p>00:01.943</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="audio_io_tutorial.html#sphx-glr-tutorials-audio-io-tutorial-py"><span class="std std-ref">Audio I/O</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_io_tutorial.py</span></code>)</p></td>
-<td><p>00:01.810</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="audio_feature_augmentation_tutorial.html#sphx-glr-tutorials-audio-feature-augmentation-tutorial-py"><span class="std std-ref">Audio Feature Augmentation</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_feature_augmentation_tutorial.py</span></code>)</p></td>
+<td><p>00:01.788</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="device_asr.html#sphx-glr-tutorials-device-asr-py"><span class="std std-ref">Device ASR with Emformer RNN-T</span></a> (<code class="docutils literal notranslate"><span class="pre">device_asr.py</span></code>)</p></td>
diff --git a/0.12.1/tutorials/speech_recognition_pipeline_tutorial.html b/0.12.1/tutorials/speech_recognition_pipeline_tutorial.html
index c5ff3370e2..fb7f3bbdea 100644
--- a/0.12.1/tutorials/speech_recognition_pipeline_tutorial.html
+++ b/0.12.1/tutorials/speech_recognition_pipeline_tutorial.html
@@ -474,59 +474,68 @@ <h2>Creating a pipeline<a class="headerlink" href="#creating-a-pipeline" title="
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ls960.pth&quot; to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ls960.pth
 
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 &lt;class &#39;torchaudio.models.wav2vec2.model.Wav2Vec2Model&#39;&gt;
 </pre></div>
 </div>
@@ -698,7 +707,7 @@ <h2>Conclusion<a class="headerlink" href="#conclusion" title="Permalink to this
 <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">waveforms</span><span class="p">,</span> <span class="o">...</span><span class="p">)</span>
 </pre></div>
 </div>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  12.106 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-speech-recognition-pipeline-tutorial-py">
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 <p><a class="reference download internal" download="" href="../_downloads/a0b5016bbf34fce4ac5549f4075dd10f/speech_recognition_pipeline_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">speech_recognition_pipeline_tutorial.py</span></code></a></p>
diff --git a/0.12.1/tutorials/streaming_api2_tutorial.html b/0.12.1/tutorials/streaming_api2_tutorial.html
index 6d9d6caf6d..3c24bd85f5 100644
--- a/0.12.1/tutorials/streaming_api2_tutorial.html
+++ b/0.12.1/tutorials/streaming_api2_tutorial.html
@@ -836,7 +836,7 @@ <h4>Pixel manipulation<a class="headerlink" href="#pixel-manipulation" title="Pe
 <img src="../_images/sphx_glr_streaming_api2_tutorial_009.png" srcset="../_images/sphx_glr_streaming_api2_tutorial_009.png" alt="streaming api2 tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>filter_desc: fps=10,geq=r=&#39;X/W*r(X,Y)&#39;:g=&#39;(1-X/W)*g(X,Y)&#39;:b=&#39;(H-Y)/H*b(X,Y)&#39;,format=pix_fmts=rgb24
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  10.110 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-streaming-api2-tutorial-py">
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 <p><a class="reference download internal" download="" href="../_downloads/926f439fd16d4ccb92acd6adc408f495/streaming_api2_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">streaming_api2_tutorial.py</span></code></a></p>
diff --git a/0.12.1/tutorials/streaming_api_tutorial.html b/0.12.1/tutorials/streaming_api_tutorial.html
index ae2354c989..f1201d31d4 100644
--- a/0.12.1/tutorials/streaming_api_tutorial.html
+++ b/0.12.1/tutorials/streaming_api_tutorial.html
@@ -936,7 +936,7 @@ <h3>Streaming<a class="headerlink" href="#id2" title="Permalink to this headline
 <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">(</span><span class="n">block</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_streaming_api_tutorial_001.png" srcset="../_images/sphx_glr_streaming_api_tutorial_001.png" alt="Iteration 0, Iteration 1, Iteration 2" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  20.039 seconds)</p>
+<img src="../_images/sphx_glr_streaming_api_tutorial_001.png" srcset="../_images/sphx_glr_streaming_api_tutorial_001.png" alt="Iteration 0, Iteration 1, Iteration 2" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  19.253 seconds)</p>
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 <p><a class="reference download internal" download="" href="../_downloads/871e7b2703012d711d6f499a09b24e8a/streaming_api_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">streaming_api_tutorial.py</span></code></a></p>
diff --git a/0.12.1/tutorials/tacotron2_pipeline_tutorial.html b/0.12.1/tutorials/tacotron2_pipeline_tutorial.html
index 9581686351..030888bf80 100644
--- a/0.12.1/tutorials/tacotron2_pipeline_tutorial.html
+++ b/0.12.1/tutorials/tacotron2_pipeline_tutorial.html
@@ -531,33 +531,38 @@ <h3>Phoneme-based encoding<a class="headerlink" href="#phoneme-based-encoding" t
 </pre></div>
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 tensor([[54, 20, 65, 69, 11, 92, 44, 65, 38,  2, 11, 81, 40, 64, 79, 81, 11, 81,
          20, 11, 79, 77, 59, 37,  2]])
 tensor([25], dtype=torch.int32)
@@ -604,14 +609,18 @@ <h2>Spectrogram Generation<a class="headerlink" href="#spectrogram-generation" t
 <img src="../_images/sphx_glr_tacotron2_pipeline_tutorial_001.png" srcset="../_images/sphx_glr_tacotron2_pipeline_tutorial_001.png" alt="tacotron2 pipeline tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://download.pytorch.org/torchaudio/models/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth&quot; to /root/.cache/torch/hub/checkpoints/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth
 
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 <p>Note that <code class="docutils literal notranslate"><span class="pre">Tacotron2.infer</span></code> method perfoms multinomial sampling,
@@ -667,7 +676,8 @@ <h3>WaveRNN<a class="headerlink" href="#wavernn" title="Permalink to this headli
 <img src="../_images/sphx_glr_tacotron2_pipeline_tutorial_003.png" srcset="../_images/sphx_glr_tacotron2_pipeline_tutorial_003.png" alt="tacotron2 pipeline tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://download.pytorch.org/torchaudio/models/wavernn_10k_epochs_8bits_ljspeech.pth&quot; to /root/.cache/torch/hub/checkpoints/wavernn_10k_epochs_8bits_ljspeech.pth
 
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@@ -712,20 +722,20 @@ <h3>Griffin-Lim<a class="headerlink" href="#griffin-lim" title="Permalink to thi
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@@ -793,7 +803,7 @@ <h3>Waveglow<a class="headerlink" href="#waveglow" title="Permalink to this head
 
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diff --git a/main/_sources/transforms.rst.txt b/main/_sources/transforms.rst.txt
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@@ -91,7 +91,7 @@ Transforms are common audio transforms. They can be chained together using :clas
   .. automethod:: forward
 
 :hidden:`Loudness`
------------------
+------------------
 
 .. autoclass:: Loudness
 
diff --git a/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt b/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt
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@@ -138,7 +138,7 @@ tutorial <https://pytorch.org/audio/main/tutorials/speech_recognition_pipeline_t
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ll10m.pth" to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ll10m.pth
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@@ -171,7 +171,7 @@ We will load a sample from the LibriSpeech test-other dataset.
 
  .. code-block:: none
 
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     79%|#######8  | 2.29G/2.91G [00:35<00:07, 88.0MB/s]
     79%|#######9  | 2.30G/2.91G [00:35<00:07, 83.2MB/s]
     79%|#######9  | 2.31G/2.91G [00:35<00:11, 55.4MB/s]
     80%|#######9  | 2.32G/2.91G [00:36<00:09, 66.5MB/s]
     80%|########  | 2.34G/2.91G [00:36<00:07, 81.6MB/s]
     81%|########  | 2.35G/2.91G [00:36<00:07, 76.5MB/s]
     81%|########  | 2.36G/2.91G [00:36<00:08, 68.8MB/s]
     81%|########1 | 2.36G/2.91G [00:36<00:08, 65.3MB/s]
     82%|########1 | 2.37G/2.91G [00:36<00:08, 69.2MB/s]
     82%|########2 | 2.39G/2.91G [00:36<00:06, 83.7MB/s]
     82%|########2 | 2.40G/2.91G [00:37<00:11, 49.1MB/s]
     83%|########2 | 2.41G/2.91G [00:37<00:09, 57.7MB/s]
     83%|########3 | 2.42G/2.91G [00:37<00:07, 73.3MB/s]
     83%|########3 | 2.43G/2.91G [00:37<00:07, 66.6MB/s]
     84%|########3 | 2.44G/2.91G [00:37<00:07, 66.6MB/s]
     84%|########3 | 2.44G/2.91G [00:37<00:07, 66.5MB/s]
     84%|########4 | 2.45G/2.91G [00:38<00:07, 63.3MB/s]
     85%|########4 | 2.47G/2.91G [00:38<00:05, 83.0MB/s]
     85%|########5 | 2.48G/2.91G [00:38<00:08, 52.8MB/s]
     85%|########5 | 2.48G/2.91G [00:38<00:08, 55.6MB/s]
     86%|########5 | 2.50G/2.91G [00:38<00:05, 74.9MB/s]
     86%|########6 | 2.51G/2.91G [00:39<00:06, 63.1MB/s]
     86%|########6 | 2.52G/2.91G [00:39<00:07, 58.9MB/s]
     87%|########6 | 2.53G/2.91G [00:39<00:05, 76.9MB/s]
     87%|########7 | 2.54G/2.91G [00:39<00:06, 63.5MB/s]
     88%|########7 | 2.55G/2.91G [00:39<00:06, 60.9MB/s]
     88%|########7 | 2.55G/2.91G [00:39<00:07, 49.6MB/s]
     88%|########8 | 2.57G/2.91G [00:40<00:05, 66.8MB/s]
     89%|########8 | 2.58G/2.91G [00:40<00:04, 75.0MB/s]
     89%|########8 | 2.59G/2.91G [00:40<00:05, 64.6MB/s]
     89%|########9 | 2.59G/2.91G [00:40<00:05, 65.4MB/s]
     90%|########9 | 2.61G/2.91G [00:40<00:04, 81.1MB/s]
     90%|######### | 2.62G/2.91G [00:40<00:03, 96.6MB/s]
     90%|######### | 2.63G/2.91G [00:40<00:03, 76.4MB/s]
     91%|######### | 2.64G/2.91G [00:41<00:03, 77.8MB/s]
     91%|#########1| 2.65G/2.91G [00:41<00:04, 61.3MB/s]
     91%|#########1| 2.66G/2.91G [00:41<00:04, 57.3MB/s]
     92%|#########1| 2.67G/2.91G [00:41<00:03, 81.0MB/s]
     92%|#########2| 2.69G/2.91G [00:41<00:02, 82.2MB/s]
     93%|#########2| 2.70G/2.91G [00:41<00:03, 74.7MB/s]
     93%|#########2| 2.70G/2.91G [00:42<00:03, 62.3MB/s]
     93%|#########3| 2.71G/2.91G [00:42<00:02, 70.6MB/s]
     94%|#########3| 2.72G/2.91G [00:42<00:03, 56.6MB/s]
     94%|#########3| 2.73G/2.91G [00:42<00:03, 55.2MB/s]
     94%|#########3| 2.73G/2.91G [00:42<00:03, 54.5MB/s]
     94%|#########4| 2.74G/2.91G [00:42<00:03, 52.7MB/s]
     94%|#########4| 2.75G/2.91G [00:42<00:02, 66.6MB/s]
     95%|#########4| 2.76G/2.91G [00:43<00:02, 63.0MB/s]
     95%|#########5| 2.77G/2.91G [00:43<00:02, 63.6MB/s]
     95%|#########5| 2.77G/2.91G [00:43<00:03, 40.2MB/s]
     95%|#########5| 2.78G/2.91G [00:43<00:03, 38.4MB/s]
     96%|#########5| 2.78G/2.91G [00:43<00:03, 39.9MB/s]
     96%|#########5| 2.79G/2.91G [00:43<00:03, 37.4MB/s]
     96%|#########6| 2.80G/2.91G [00:44<00:02, 56.1MB/s]
     97%|#########6| 2.81G/2.91G [00:44<00:01, 80.1MB/s]
     97%|#########6| 2.82G/2.91G [00:44<00:01, 76.9MB/s]
     97%|#########7| 2.83G/2.91G [00:44<00:01, 50.8MB/s]
     97%|#########7| 2.84G/2.91G [00:44<00:01, 45.7MB/s]
     98%|#########7| 2.84G/2.91G [00:45<00:02, 36.6MB/s]
     98%|#########7| 2.85G/2.91G [00:45<00:01, 36.8MB/s]
     98%|#########8| 2.86G/2.91G [00:45<00:01, 50.4MB/s]
     98%|#########8| 2.86G/2.91G [00:45<00:01, 43.1MB/s]
     99%|#########8| 2.87G/2.91G [00:45<00:00, 43.7MB/s]
     99%|#########8| 2.88G/2.91G [00:45<00:00, 40.9MB/s]
     99%|#########9| 2.89G/2.91G [00:46<00:00, 54.5MB/s]
     99%|#########9| 2.90G/2.91G [00:46<00:00, 42.1MB/s]
    100%|#########9| 2.90G/2.91G [00:46<00:00, 43.8MB/s]
    100%|##########| 2.91G/2.91G [00:46<00:00, 67.2MB/s]
+
      0%|          | 0.00/4.97M [00:00<?, ?B/s]
     69%|######8   | 3.41M/4.97M [00:00<00:00, 34.1MB/s]
    100%|##########| 4.97M/4.97M [00:00<00:00, 34.4MB/s]
+
      0%|          | 0.00/57.0 [00:00<?, ?B/s]
    100%|##########| 57.0/57.0 [00:00<00:00, 44.6kB/s]
+
      0%|          | 0.00/2.91G [00:00<?, ?B/s]
      0%|          | 3.20M/2.91G [00:00<01:33, 33.3MB/s]
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      0%|          | 12.5M/2.91G [00:00<01:07, 46.1MB/s]
      1%|          | 18.5M/2.91G [00:00<00:59, 52.6MB/s]
      1%|          | 24.9M/2.91G [00:00<00:53, 57.8MB/s]
      1%|1         | 31.4M/2.91G [00:00<00:50, 61.1MB/s]
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      1%|1         | 44.5M/2.91G [00:00<00:47, 65.4MB/s]
      2%|1         | 51.7M/2.91G [00:00<00:45, 68.0MB/s]
      2%|1         | 58.2M/2.91G [00:01<00:47, 64.2MB/s]
      2%|2         | 64.3M/2.91G [00:01<00:49, 61.2MB/s]
      2%|2         | 71.7M/2.91G [00:01<00:46, 65.8MB/s]
      3%|2         | 78.1M/2.91G [00:01<00:48, 63.2MB/s]
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      3%|3         | 90.6M/2.91G [00:01<00:48, 62.9MB/s]
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      4%|3         | 110M/2.91G [00:01<00:46, 64.9MB/s]
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     11%|#1        | 329M/2.91G [00:05<00:51, 54.1MB/s]
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     40%|####      | 1.17G/2.91G [00:20<00:27, 69.0MB/s]
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     41%|####1     | 1.19G/2.91G [00:20<00:26, 70.8MB/s]
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     47%|####7     | 1.37G/2.91G [00:23<00:25, 65.3MB/s]
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     PretrainedFiles(lexicon='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lexicon.txt', tokens='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/tokens.txt', lm='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lm.bin')
 
 
@@ -764,10 +764,10 @@ computation time.
 
  .. code-block:: none
 
-    beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.2948 secs)
-    beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0531 secs)
-    beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2821 secs)
-    beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.6548 secs)
+    beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.1489 secs)
+    beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0613 secs)
+    beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2009 secs)
+    beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.7382 secs)
 
 
 
@@ -812,10 +812,10 @@ hypotheses at the cost of computation.
 
  .. code-block:: none
 
-    beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.1817 secs)
-    beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.2327 secs)
-    beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.2275 secs)
-    beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2671 secs)
+    beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.2837 secs)
+    beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.2069 secs)
+    beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.2835 secs)
+    beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.3178 secs)
 
 
 
@@ -861,10 +861,10 @@ threshold such that plausible hypotheses are not pruned.
 
  .. code-block:: none
 
-    beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0437 secs)
-    beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0916 secs)
-    beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2690 secs)
-    beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2620 secs)
+    beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0336 secs)
+    beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.1956 secs)
+    beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2448 secs)
+    beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2949 secs)
 
 
 
@@ -908,9 +908,9 @@ give more weight to the acoustic model score instead.
 
  .. code-block:: none
 
-    lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.2854 secs)
-    lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.4206 secs)
-    lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.3405 secs)
+    lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.3159 secs)
+    lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.3100 secs)
+    lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.2866 secs)
 
 
 
@@ -931,7 +931,7 @@ Additional parameters that can be optimized include the following
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  47.241 seconds)
+   **Total running time of the script:** ( 2 minutes  58.118 seconds)
 
 
 .. _sphx_glr_download_tutorials_asr_inference_with_ctc_decoder_tutorial.py:
diff --git a/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt b/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt
index 1936c3e8c8..18e7fcb5b3 100644
--- a/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt
@@ -48,8 +48,8 @@ At the end, we synthesize noisy speech over phone from clean speech.
 
  .. code-block:: none
 
-    1.13.0.dev20220817
-    0.13.0.dev20220817
+    1.13.0.dev20220818
+    0.13.0.dev20220818
 
 
 
@@ -88,9 +88,9 @@ First, we import the modules and download the audio assets we use in this tutori
 
  .. code-block:: none
 
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@@ -1305,7 +1305,7 @@ Codec aplied:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  12.088 seconds)
+   **Total running time of the script:** ( 0 minutes  12.452 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_data_augmentation_tutorial.py:
diff --git a/main/_sources/tutorials/audio_datasets_tutorial.rst.txt b/main/_sources/tutorials/audio_datasets_tutorial.rst.txt
index 8cd5d50533..0a8dbd3d35 100644
--- a/main/_sources/tutorials/audio_datasets_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_datasets_tutorial.rst.txt
@@ -48,8 +48,8 @@ available datasets.
 
  .. code-block:: none
 
-    1.13.0.dev20220817
-    0.13.0.dev20220817
+    1.13.0.dev20220818
+    0.13.0.dev20220818
 
 
 
@@ -172,7 +172,7 @@ Here, we show how to use the
 
  .. code-block:: none
 
-
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+
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    100%|##########| 4.49M/4.49M [00:00<00:00, 5.60MB/s]
     <IPython.lib.display.Audio object>
     <IPython.lib.display.Audio object>
     <IPython.lib.display.Audio object>
@@ -183,7 +183,7 @@ Here, we show how to use the
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.882 seconds)
+   **Total running time of the script:** ( 0 minutes  2.030 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_datasets_tutorial.py:
diff --git a/main/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt b/main/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt
index 2acfcccf6f..e0d2811a51 100644
--- a/main/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt
@@ -45,8 +45,8 @@ Audio Feature Augmentation
 
  .. code-block:: none
 
-    1.13.0.dev20220817
-    0.13.0.dev20220817
+    1.13.0.dev20220818
+    0.13.0.dev20220818
 
 
 
@@ -316,7 +316,7 @@ FrequencyMasking
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.761 seconds)
+   **Total running time of the script:** ( 0 minutes  1.677 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_feature_augmentation_tutorial.py:
diff --git a/main/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt b/main/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt
index 9af69aaeba..5fb4e733eb 100644
--- a/main/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt
@@ -53,8 +53,8 @@ They can be serialized using TorchScript.
 
  .. code-block:: none
 
-    1.13.0.dev20220817
-    0.13.0.dev20220817
+    1.13.0.dev20220818
+    0.13.0.dev20220818
 
 
 
@@ -876,7 +876,7 @@ and it is available as :py:func:`torchaudio.functional.compute_kaldi_pitch`.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  5.114 seconds)
+   **Total running time of the script:** ( 0 minutes  5.218 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_feature_extractions_tutorial.py:
diff --git a/main/_sources/tutorials/audio_io_tutorial.rst.txt b/main/_sources/tutorials/audio_io_tutorial.rst.txt
index face897113..41a42d8718 100644
--- a/main/_sources/tutorials/audio_io_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_io_tutorial.rst.txt
@@ -43,8 +43,8 @@ into PyTorch's Tensor object, and save Tensor objects to audio files.
 
  .. code-block:: none
 
-    1.13.0.dev20220817
-    0.13.0.dev20220817
+    1.13.0.dev20220818
+    0.13.0.dev20220818
 
 
 
@@ -96,9 +96,9 @@ First, we import the modules and download the audio assets we use in this tutori
 
  .. code-block:: none
 
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@@ -452,7 +452,7 @@ The following examples illustrate this.
 
  .. code-block:: none
 
-
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@@ -635,7 +635,7 @@ the provided data fit
  .. code-block:: none
 
     ----------
-    Source: /tmp/tmplq0nog25/save_example_default.wav
+    Source: /tmp/tmpyyqqc5l5/save_example_default.wav
     ----------
      - File size: 217658 bytes
      - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=32, encoding=PCM_F)
@@ -668,7 +668,7 @@ The resulting file occupies half the storage but loses precision
  .. code-block:: none
 
     ----------
-    Source: /tmp/tmprkem4g5o/save_example_PCM_S16.wav
+    Source: /tmp/tmpycjk83nk/save_example_PCM_S16.wav
     ----------
      - File size: 108844 bytes
      - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=16, encoding=PCM_S)
@@ -724,37 +724,37 @@ To name a few:
  .. code-block:: none
 
     ----------
-    Source: /tmp/tmpr9ov9tg7/save_example.flac
+    Source: /tmp/tmpfcjjo2ts/save_example.flac
     ----------
      - File size: 37141 bytes
      - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=24, encoding=FLAC)
 
     ----------
-    Source: /tmp/tmpr9ov9tg7/save_example.vorbis
+    Source: /tmp/tmpfcjjo2ts/save_example.vorbis
     ----------
      - File size: 12588 bytes
      - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=0, encoding=VORBIS)
 
     ----------
-    Source: /tmp/tmpr9ov9tg7/save_example.sph
+    Source: /tmp/tmpfcjjo2ts/save_example.sph
     ----------
      - File size: 109824 bytes
      - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=32, encoding=PCM_S)
 
     ----------
-    Source: /tmp/tmpr9ov9tg7/save_example.amb
+    Source: /tmp/tmpfcjjo2ts/save_example.amb
     ----------
      - File size: 108858 bytes
      - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=32, encoding=PCM_F)
 
     ----------
-    Source: /tmp/tmpr9ov9tg7/save_example.amr-nb
+    Source: /tmp/tmpfcjjo2ts/save_example.amr-nb
     ----------
      - File size: 2008 bytes
      - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=0, encoding=AMR_NB)
 
     ----------
-    Source: /tmp/tmpr9ov9tg7/save_example.gsm
+    Source: /tmp/tmpfcjjo2ts/save_example.gsm
     ----------
      - File size: 5610 bytes
      - AudioMetaData(sample_rate=8000, num_frames=0, num_channels=1, bits_per_sample=0, encoding=GSM)
@@ -803,7 +803,7 @@ required.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.989 seconds)
+   **Total running time of the script:** ( 0 minutes  1.684 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_io_tutorial.py:
diff --git a/main/_sources/tutorials/audio_resampling_tutorial.rst.txt b/main/_sources/tutorials/audio_resampling_tutorial.rst.txt
index 070866f39f..4fdd2e60de 100644
--- a/main/_sources/tutorials/audio_resampling_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_resampling_tutorial.rst.txt
@@ -44,8 +44,8 @@ This tutorial shows how to use torchaudio's resampling API.
 
  .. code-block:: none
 
-    1.13.0.dev20220817
-    0.13.0.dev20220817
+    1.13.0.dev20220818
+    0.13.0.dev20220818
 
 
 
@@ -806,38 +806,38 @@ To elaborate on the results:
 
  .. code-block:: none
 
-    torchaudio: 0.13.0.dev20220817
+    torchaudio: 0.13.0.dev20220818
     librosa: 0.9.2
                     downsample (48 -> 44.1 kHz) time (ms)                      
                                                   librosa functional transforms
-    sinc (width 64)                                   NaN       2.47       0.33
-    sinc (width 16)                                   NaN       1.40       0.40
-    kaiser_best                                     63.76       2.17       0.33
-    kaiser_fast                                      9.39       1.91       0.38
-    torchaudio: 0.13.0.dev20220817
+    sinc (width 64)                                   NaN       2.71       0.38
+    sinc (width 16)                                   NaN       1.47       0.42
+    kaiser_best                                     66.49       2.41       0.39
+    kaiser_fast                                      9.20       2.08       0.43
+    torchaudio: 0.13.0.dev20220818
     librosa: 0.9.2
                     downsample (16 -> 8 kHz) time (ms)                      
                                                librosa functional transforms
-    sinc (width 64)                                NaN       1.05       0.77
-    sinc (width 16)                                NaN       0.58       0.36
-    kaiser_best                                  12.31       1.19       0.82
-    kaiser_fast                                   4.36       0.67       0.37
-    torchaudio: 0.13.0.dev20220817
+    sinc (width 64)                                NaN       1.07       0.76
+    sinc (width 16)                                NaN       0.57       0.33
+    kaiser_best                                  11.89       1.24       0.79
+    kaiser_fast                                   3.90       0.73       0.37
+    torchaudio: 0.13.0.dev20220818
     librosa: 0.9.2
                     upsample (44.1 -> 48 kHz) time (ms)                      
                                                 librosa functional transforms
-    sinc (width 64)                                 NaN       2.46       0.34
-    sinc (width 16)                                 NaN       1.40       0.38
-    kaiser_best                                   33.02       2.20       0.33
-    kaiser_fast                                    9.46       1.87       0.39
-    torchaudio: 0.13.0.dev20220817
+    sinc (width 64)                                 NaN       2.63       0.41
+    sinc (width 16)                                 NaN       1.58       0.43
+    kaiser_best                                   38.47       2.34       0.39
+    kaiser_fast                                    9.18       2.02       0.43
+    torchaudio: 0.13.0.dev20220818
     librosa: 0.9.2
                     upsample (8 -> 16 kHz) time (ms)                      
                                              librosa functional transforms
-    sinc (width 64)                              NaN       0.53       0.29
-    sinc (width 16)                              NaN       0.38       0.18
-    kaiser_best                                12.49       0.68       0.30
-    kaiser_fast                                 4.37       0.45       0.20
+    sinc (width 64)                              NaN       0.61       0.33
+    sinc (width 16)                              NaN       0.38       0.20
+    kaiser_best                                12.34       0.76       0.42
+    kaiser_fast                                 3.99       0.51       0.19
 
 
 
@@ -845,7 +845,7 @@ To elaborate on the results:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  3.397 seconds)
+   **Total running time of the script:** ( 0 minutes  3.589 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_resampling_tutorial.py:
diff --git a/main/_sources/tutorials/forced_alignment_tutorial.rst.txt b/main/_sources/tutorials/forced_alignment_tutorial.rst.txt
index 6eb202d41f..4ba0499074 100644
--- a/main/_sources/tutorials/forced_alignment_tutorial.rst.txt
+++ b/main/_sources/tutorials/forced_alignment_tutorial.rst.txt
@@ -52,8 +52,8 @@ Recognition <https://arxiv.org/abs/2007.09127>`__.
 
  .. code-block:: none
 
-    1.13.0.dev20220817
-    0.13.0.dev20220817
+    1.13.0.dev20220818
+    0.13.0.dev20220818
     cpu
 
 
@@ -1210,7 +1210,7 @@ perform CTC segmentation for forced alignment.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.387 seconds)
+   **Total running time of the script:** ( 0 minutes  2.394 seconds)
 
 
 .. _sphx_glr_download_tutorials_forced_alignment_tutorial.py:
diff --git a/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt b/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt
index b8524f1c7a..3261e3fc4c 100644
--- a/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt
+++ b/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt
@@ -74,8 +74,8 @@ First, we install the necessary dependencies. The first requirement is
 
  .. code-block:: none
 
-    1.13.0.dev20220817
-    0.13.0.dev20220817
+    1.13.0.dev20220818
+    0.13.0.dev20220818
 
 
 
@@ -163,7 +163,7 @@ and has a nfft value of 4096 with a depth of 6 in the model implementation.
 
  .. code-block:: none
 
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     Sample rate: 44100
 
 
@@ -327,7 +327,7 @@ separator in different ways.
 
  .. code-block:: none
 
-
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+
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    100%|##########| 28.8M/28.8M [00:00<00:00, 56.4MB/s]
     Separating track
 
 
@@ -430,10 +430,10 @@ scores.
 
  .. code-block:: none
 
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+
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@@ -685,7 +685,7 @@ Other SDR, Spectrogram, and Audio
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  1.935 seconds)
+   **Total running time of the script:** ( 1 minutes  20.552 seconds)
 
 
 .. _sphx_glr_download_tutorials_hybrid_demucs_tutorial.py:
diff --git a/main/_sources/tutorials/mvdr_tutorial.rst.txt b/main/_sources/tutorials/mvdr_tutorial.rst.txt
index b0e2aeb2eb..04c32c596a 100644
--- a/main/_sources/tutorials/mvdr_tutorial.rst.txt
+++ b/main/_sources/tutorials/mvdr_tutorial.rst.txt
@@ -67,8 +67,8 @@ Steps:
 
  .. code-block:: none
 
-    1.13.0.dev20220817
-    0.13.0.dev20220817
+    1.13.0.dev20220818
+    0.13.0.dev20220818
 
 
 
@@ -156,8 +156,8 @@ which was generated with:
 
  .. code-block:: none
 
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+
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@@ -856,7 +856,7 @@ We can then obtain the enhanced waveform by passing this output to the
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.490 seconds)
+   **Total running time of the script:** ( 0 minutes  2.133 seconds)
 
 
 .. _sphx_glr_download_tutorials_mvdr_tutorial.py:
diff --git a/main/_sources/tutorials/online_asr_tutorial.rst.txt b/main/_sources/tutorials/online_asr_tutorial.rst.txt
index 2abdefce5c..63fa7d135d 100644
--- a/main/_sources/tutorials/online_asr_tutorial.rst.txt
+++ b/main/_sources/tutorials/online_asr_tutorial.rst.txt
@@ -107,8 +107,8 @@ Performing online speech recognition is composed of the following steps
 
  .. code-block:: none
 
-    1.13.0.dev20220817
-    0.13.0.dev20220817
+    1.13.0.dev20220818
+    0.13.0.dev20220818
 
 
 
@@ -144,9 +144,9 @@ which is a Emformer RNN-T model trained on LibriSpeech dataset.
 
  .. code-block:: none
 
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@@ -572,7 +572,7 @@ repeatedly.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  3.272 seconds)
+   **Total running time of the script:** ( 0 minutes  59.200 seconds)
 
 
 .. _sphx_glr_download_tutorials_online_asr_tutorial.py:
diff --git a/main/_sources/tutorials/sg_execution_times.rst.txt b/main/_sources/tutorials/sg_execution_times.rst.txt
index 9aeef93bcb..69b1ed3ba2 100644
--- a/main/_sources/tutorials/sg_execution_times.rst.txt
+++ b/main/_sources/tutorials/sg_execution_times.rst.txt
@@ -5,38 +5,38 @@
 
 Computation times
 =================
-**08:48.660** total execution time for **tutorials** files:
+**09:01.551** total execution time for **tutorials** files:
 
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_asr_inference_with_ctc_decoder_tutorial.py` (``asr_inference_with_ctc_decoder_tutorial.py``) | 02:47.241 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_asr_inference_with_ctc_decoder_tutorial.py` (``asr_inference_with_ctc_decoder_tutorial.py``) | 02:58.118 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_tacotron2_pipeline_tutorial.py` (``tacotron2_pipeline_tutorial.py``)                         | 02:43.540 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_tacotron2_pipeline_tutorial.py` (``tacotron2_pipeline_tutorial.py``)                         | 02:32.621 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_online_asr_tutorial.py` (``online_asr_tutorial.py``)                                         | 01:03.272 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_hybrid_demucs_tutorial.py` (``hybrid_demucs_tutorial.py``)                                   | 01:20.552 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_hybrid_demucs_tutorial.py` (``hybrid_demucs_tutorial.py``)                                   | 01:01.935 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_online_asr_tutorial.py` (``online_asr_tutorial.py``)                                         | 00:59.200 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_streaming_api_tutorial.py` (``streaming_api_tutorial.py``)                                   | 00:20.297 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_streaming_api_tutorial.py` (``streaming_api_tutorial.py``)                                   | 00:19.738 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_data_augmentation_tutorial.py` (``audio_data_augmentation_tutorial.py``)               | 00:12.088 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_data_augmentation_tutorial.py` (``audio_data_augmentation_tutorial.py``)               | 00:12.452 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_speech_recognition_pipeline_tutorial.py` (``speech_recognition_pipeline_tutorial.py``)       | 00:10.819 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_speech_recognition_pipeline_tutorial.py` (``speech_recognition_pipeline_tutorial.py``)       | 00:10.999 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_streaming_api2_tutorial.py` (``streaming_api2_tutorial.py``)                                 | 00:10.449 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_streaming_api2_tutorial.py` (``streaming_api2_tutorial.py``)                                 | 00:09.146 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_feature_extractions_tutorial.py` (``audio_feature_extractions_tutorial.py``)           | 00:05.114 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_feature_extractions_tutorial.py` (``audio_feature_extractions_tutorial.py``)           | 00:05.218 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_resampling_tutorial.py` (``audio_resampling_tutorial.py``)                             | 00:03.397 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_resampling_tutorial.py` (``audio_resampling_tutorial.py``)                             | 00:03.589 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_mvdr_tutorial.py` (``mvdr_tutorial.py``)                                                     | 00:02.490 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_forced_alignment_tutorial.py` (``forced_alignment_tutorial.py``)                             | 00:02.394 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_forced_alignment_tutorial.py` (``forced_alignment_tutorial.py``)                             | 00:02.387 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_mvdr_tutorial.py` (``mvdr_tutorial.py``)                                                     | 00:02.133 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_io_tutorial.py` (``audio_io_tutorial.py``)                                             | 00:01.989 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_datasets_tutorial.py` (``audio_datasets_tutorial.py``)                                 | 00:02.030 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_datasets_tutorial.py` (``audio_datasets_tutorial.py``)                                 | 00:01.882 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_io_tutorial.py` (``audio_io_tutorial.py``)                                             | 00:01.684 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_feature_augmentation_tutorial.py` (``audio_feature_augmentation_tutorial.py``)         | 00:01.761 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_feature_augmentation_tutorial.py` (``audio_feature_augmentation_tutorial.py``)         | 00:01.677 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorials_device_asr.py` (``device_asr.py``)                                                           | 00:00.000 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/main/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt b/main/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt
index ee8098d9fd..2f89318f1c 100644
--- a/main/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt
+++ b/main/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt
@@ -96,8 +96,8 @@ First we import the necessary packages, and fetch data that we work on.
 
  .. code-block:: none
 
-    1.13.0.dev20220817
-    0.13.0.dev20220817
+    1.13.0.dev20220818
+    0.13.0.dev20220818
     cpu
 
 
@@ -184,7 +184,7 @@ fetch the pre-trained weights and load it into the model.
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ls960.pth" to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ls960.pth
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     <class 'torchaudio.models.wav2vec2.model.Wav2Vec2Model'>
 
 
@@ -544,7 +544,7 @@ a model and getting the emission is as short as two lines.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  10.819 seconds)
+   **Total running time of the script:** ( 0 minutes  10.999 seconds)
 
 
 .. _sphx_glr_download_tutorials_speech_recognition_pipeline_tutorial.py:
diff --git a/main/_sources/tutorials/streaming_api2_tutorial.rst.txt b/main/_sources/tutorials/streaming_api2_tutorial.rst.txt
index 09b5bf7ea4..95d0feccea 100644
--- a/main/_sources/tutorials/streaming_api2_tutorial.rst.txt
+++ b/main/_sources/tutorials/streaming_api2_tutorial.rst.txt
@@ -49,8 +49,8 @@ This shows how to use `StreamReader` for
 
  .. code-block:: none
 
-    1.13.0.dev20220817
-    0.13.0.dev20220817
+    1.13.0.dev20220818
+    0.13.0.dev20220818
 
 
 
@@ -856,7 +856,7 @@ Pixel manipulation
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  10.449 seconds)
+   **Total running time of the script:** ( 0 minutes  9.146 seconds)
 
 
 .. _sphx_glr_download_tutorials_streaming_api2_tutorial.py:
diff --git a/main/_sources/tutorials/streaming_api_tutorial.rst.txt b/main/_sources/tutorials/streaming_api_tutorial.rst.txt
index be4d734354..9c6cde6c8f 100644
--- a/main/_sources/tutorials/streaming_api_tutorial.rst.txt
+++ b/main/_sources/tutorials/streaming_api_tutorial.rst.txt
@@ -99,8 +99,8 @@ Preparation
 
  .. code-block:: none
 
-    1.13.0.dev20220817
-    0.13.0.dev20220817
+    1.13.0.dev20220818
+    0.13.0.dev20220818
 
 
 
@@ -888,7 +888,7 @@ Let's visualize what we received.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  20.297 seconds)
+   **Total running time of the script:** ( 0 minutes  19.738 seconds)
 
 
 .. _sphx_glr_download_tutorials_streaming_api_tutorial.py:
diff --git a/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt b/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt
index ba77cf4d48..69ec484182 100644
--- a/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt
+++ b/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt
@@ -117,8 +117,8 @@ encoding.
 
  .. code-block:: none
 
-    1.13.0.dev20220817
-    0.13.0.dev20220817
+    1.13.0.dev20220818
+    0.13.0.dev20220818
     cpu
 
 
@@ -298,7 +298,7 @@ fetched.
 
  .. code-block:: none
 
-
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              20, 11, 79, 77, 59, 37,  2]])
     tensor([25], dtype=torch.int32)
@@ -389,9 +389,9 @@ For the available bundles, and its usage, please refer to :py:mod:`torchaudio.pi
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth" to /root/.cache/torch/hub/checkpoints/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth
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-    <matplotlib.image.AxesImage object at 0x7f2896484ca0>
+    <matplotlib.image.AxesImage object at 0x7f62fa8955e0>
 
 
 
@@ -498,7 +498,7 @@ WaveRNN model from the same bundle.
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/wavernn_10k_epochs_8bits_ljspeech.pth" to /root/.cache/torch/hub/checkpoints/wavernn_10k_epochs_8bits_ljspeech.pth
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 .. raw:: html
@@ -567,7 +567,7 @@ the vocode object with ``get_vocoder`` method and pass the spectrogram.
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/tacotron2_english_phonemes_1500_epochs_ljspeech.pth" to /root/.cache/torch/hub/checkpoints/tacotron2_english_phonemes_1500_epochs_ljspeech.pth
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 .. raw:: html
@@ -666,7 +666,7 @@ module.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  43.540 seconds)
+   **Total running time of the script:** ( 2 minutes  32.621 seconds)
 
 
 .. _sphx_glr_download_tutorials_tacotron2_pipeline_tutorial.py:
diff --git a/main/_static/css/custom.css b/main/_static/css/custom.css
index a70c3d54c3..d9f68fff7a 100644
--- a/main/_static/css/custom.css
+++ b/main/_static/css/custom.css
@@ -15,3 +15,19 @@ article.pytorch-article img.shield-badge {
     margin-top: -18px;
     margin-bottom: 9px;
 }
+/* Fix for Sphinx gallery 0.11
+See https://github.com/sphinx-gallery/sphinx-gallery/issues/990
+*/
+article.pytorch-article .sphx-glr-thumbnails .sphx-glr-thumbcontainer {
+    width: unset;
+    margin-right: 0;
+    margin-left: 0;
+}
+article.pytorch-article .sphx-glr-thumbnails {
+    display: flex;
+    grid-template-columns: none;
+}
+article.pytorch-article .sphx-glr-thumbnails .sphx-glr-thumbnails {
+    display: grid;
+    grid-template-columns: repeat(auto-fill, minmax(160px, 1fr));
+}
diff --git a/main/backend.html b/main/backend.html
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+++ b/main/backend.html
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+      <a href="../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
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-      <a href="../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
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diff --git a/main/datasets.html b/main/datasets.html
index a4b7fff00f..f41b626075 100644
--- a/main/datasets.html
+++ b/main/datasets.html
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-      <a href="../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
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diff --git a/main/functional.html b/main/functional.html
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+++ b/main/functional.html
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-      <a href="../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
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diff --git a/main/genindex.html b/main/genindex.html
index b5d03cb327..7117907ca8 100644
--- a/main/genindex.html
+++ b/main/genindex.html
@@ -198,7 +198,7 @@
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     <div class="version">
-      <a href="../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
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diff --git a/main/hw_acceleration_tutorial.html b/main/hw_acceleration_tutorial.html
index 4c7141b255..0924c762a1 100644
--- a/main/hw_acceleration_tutorial.html
+++ b/main/hw_acceleration_tutorial.html
@@ -200,7 +200,7 @@
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-      <a href="../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
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@@ -595,7 +595,6 @@
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-.jp-RenderedHTMLCommon table,
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-.jp-RenderedHTMLCommon thead,
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-.jp-RenderedHTMLCommon tr,
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@@ -623,15 +618,12 @@
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-.jp-RenderedHTMLCommon th,
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-.jp-RenderedHTMLCommon tbody tr:nth-child(odd),
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-.jp-RenderedHTMLCommon tbody tr:hover,
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diff --git a/main/index.html b/main/index.html
index 2cc0fedfb9..46bb22f190 100644
--- a/main/index.html
+++ b/main/index.html
@@ -199,7 +199,7 @@
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     <div class="version">
-      <a href="../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
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diff --git a/main/io.html b/main/io.html
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+      <a href="../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
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diff --git a/main/kaldi_io.html b/main/kaldi_io.html
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-      <a href="../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
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index a6721418ba..fd67cfdb71 100644
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index 2df2416c63688c70bb70aee4b14e5a0d24161058..5753e4c5987ae92141c77117d2f5ad69759b5d14 100644
GIT binary patch
delta 14
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delta 14
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--- a/main/pipelines.html
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@@ -200,7 +200,7 @@
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-      <a href="../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
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diff --git a/main/sox_effects.html b/main/sox_effects.html
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diff --git a/main/supported_features.html b/main/supported_features.html
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diff --git a/main/torchaudio.html b/main/torchaudio.html
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           <div class="pytorch-left-menu-search">
             
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diff --git a/main/transforms.html b/main/transforms.html
index 9e4bab85b9..220f73121d 100644
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           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
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diff --git a/main/tutorials/asr_inference_with_ctc_decoder_tutorial.html b/main/tutorials/asr_inference_with_ctc_decoder_tutorial.html
index 1615c05d4e..eb5548592c 100644
--- a/main/tutorials/asr_inference_with_ctc_decoder_tutorial.html
+++ b/main/tutorials/asr_inference_with_ctc_decoder_tutorial.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
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@@ -463,44 +463,55 @@ <h3>Acoustic Model and Data<a class="headerlink" href="#acoustic-model-and-data"
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ll10m.pth&quot; to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ll10m.pth
 
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 </pre></div>
 </div>
 <p>We will load a sample from the LibriSpeech test-other dataset.</p>
@@ -515,7 +526,7 @@ <h3>Acoustic Model and Data<a class="headerlink" href="#acoustic-model-and-data"
 </pre></div>
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 </pre></div>
 </div>
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@@ -604,315 +615,483 @@ <h4>Downloading Pretrained Files<a class="headerlink" href="#downloading-pretrai
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- 63%|######3   | 1.84G/2.91G [00:28&lt;00:20, 56.7MB/s]
- 64%|######3   | 1.86G/2.91G [00:28&lt;00:14, 79.9MB/s]
- 64%|######4   | 1.87G/2.91G [00:28&lt;00:17, 65.6MB/s]
- 64%|######4   | 1.87G/2.91G [00:28&lt;00:18, 58.7MB/s]
- 65%|######4   | 1.88G/2.91G [00:29&lt;00:19, 56.4MB/s]
- 65%|######4   | 1.89G/2.91G [00:29&lt;00:18, 58.6MB/s]
- 65%|######5   | 1.90G/2.91G [00:29&lt;00:15, 68.2MB/s]
- 66%|######5   | 1.91G/2.91G [00:29&lt;00:13, 78.9MB/s]
- 66%|######6   | 1.92G/2.91G [00:29&lt;00:15, 68.7MB/s]
- 66%|######6   | 1.93G/2.91G [00:29&lt;00:16, 62.6MB/s]
- 67%|######6   | 1.94G/2.91G [00:30&lt;00:16, 61.5MB/s]
- 67%|######6   | 1.94G/2.91G [00:30&lt;00:19, 53.3MB/s]
- 67%|######7   | 1.95G/2.91G [00:30&lt;00:19, 53.6MB/s]
- 67%|######7   | 1.96G/2.91G [00:30&lt;00:22, 44.9MB/s]
- 68%|######8   | 1.98G/2.91G [00:30&lt;00:12, 77.3MB/s]
- 68%|######8   | 1.99G/2.91G [00:30&lt;00:12, 78.5MB/s]
- 69%|######8   | 2.00G/2.91G [00:30&lt;00:12, 81.2MB/s]
- 69%|######8   | 2.01G/2.91G [00:31&lt;00:15, 64.4MB/s]
- 69%|######9   | 2.01G/2.91G [00:31&lt;00:15, 60.8MB/s]
- 69%|######9   | 2.02G/2.91G [00:31&lt;00:22, 42.2MB/s]
- 70%|######9   | 2.04G/2.91G [00:31&lt;00:14, 63.4MB/s]
- 70%|#######   | 2.05G/2.91G [00:31&lt;00:13, 68.2MB/s]
- 71%|#######   | 2.06G/2.91G [00:32&lt;00:12, 73.7MB/s]
- 71%|#######   | 2.06G/2.91G [00:32&lt;00:12, 74.8MB/s]
- 71%|#######1  | 2.08G/2.91G [00:32&lt;00:10, 87.0MB/s]
- 72%|#######1  | 2.08G/2.91G [00:32&lt;00:13, 67.8MB/s]
- 72%|#######1  | 2.09G/2.91G [00:32&lt;00:13, 65.0MB/s]
- 72%|#######2  | 2.11G/2.91G [00:32&lt;00:10, 83.3MB/s]
- 73%|#######2  | 2.12G/2.91G [00:33&lt;00:16, 52.7MB/s]
- 73%|#######3  | 2.13G/2.91G [00:33&lt;00:13, 60.2MB/s]
- 73%|#######3  | 2.14G/2.91G [00:33&lt;00:10, 75.4MB/s]
- 74%|#######3  | 2.15G/2.91G [00:33&lt;00:08, 91.0MB/s]
- 74%|#######4  | 2.16G/2.91G [00:33&lt;00:08, 99.1MB/s]
- 75%|#######4  | 2.18G/2.91G [00:33&lt;00:09, 84.8MB/s]
- 75%|#######5  | 2.19G/2.91G [00:33&lt;00:08, 90.6MB/s]
- 75%|#######5  | 2.20G/2.91G [00:33&lt;00:10, 74.4MB/s]
- 76%|#######5  | 2.20G/2.91G [00:34&lt;00:10, 73.3MB/s]
- 76%|#######5  | 2.21G/2.91G [00:34&lt;00:10, 75.0MB/s]
- 76%|#######6  | 2.22G/2.91G [00:34&lt;00:12, 59.8MB/s]
- 76%|#######6  | 2.23G/2.91G [00:34&lt;00:14, 50.9MB/s]
- 77%|#######6  | 2.23G/2.91G [00:34&lt;00:12, 60.0MB/s]
- 77%|#######7  | 2.25G/2.91G [00:34&lt;00:09, 75.8MB/s]
- 77%|#######7  | 2.25G/2.91G [00:34&lt;00:08, 79.2MB/s]
- 78%|#######7  | 2.27G/2.91G [00:35&lt;00:08, 78.5MB/s]
- 78%|#######8  | 2.27G/2.91G [00:35&lt;00:11, 57.4MB/s]
- 79%|#######8  | 2.29G/2.91G [00:35&lt;00:07, 88.0MB/s]
- 79%|#######9  | 2.30G/2.91G [00:35&lt;00:07, 83.2MB/s]
- 79%|#######9  | 2.31G/2.91G [00:35&lt;00:11, 55.4MB/s]
- 80%|#######9  | 2.32G/2.91G [00:36&lt;00:09, 66.5MB/s]
- 80%|########  | 2.34G/2.91G [00:36&lt;00:07, 81.6MB/s]
- 81%|########  | 2.35G/2.91G [00:36&lt;00:07, 76.5MB/s]
- 81%|########  | 2.36G/2.91G [00:36&lt;00:08, 68.8MB/s]
- 81%|########1 | 2.36G/2.91G [00:36&lt;00:08, 65.3MB/s]
- 82%|########1 | 2.37G/2.91G [00:36&lt;00:08, 69.2MB/s]
- 82%|########2 | 2.39G/2.91G [00:36&lt;00:06, 83.7MB/s]
- 82%|########2 | 2.40G/2.91G [00:37&lt;00:11, 49.1MB/s]
- 83%|########2 | 2.41G/2.91G [00:37&lt;00:09, 57.7MB/s]
- 83%|########3 | 2.42G/2.91G [00:37&lt;00:07, 73.3MB/s]
- 83%|########3 | 2.43G/2.91G [00:37&lt;00:07, 66.6MB/s]
- 84%|########3 | 2.44G/2.91G [00:37&lt;00:07, 66.6MB/s]
- 84%|########3 | 2.44G/2.91G [00:37&lt;00:07, 66.5MB/s]
- 84%|########4 | 2.45G/2.91G [00:38&lt;00:07, 63.3MB/s]
- 85%|########4 | 2.47G/2.91G [00:38&lt;00:05, 83.0MB/s]
- 85%|########5 | 2.48G/2.91G [00:38&lt;00:08, 52.8MB/s]
- 85%|########5 | 2.48G/2.91G [00:38&lt;00:08, 55.6MB/s]
- 86%|########5 | 2.50G/2.91G [00:38&lt;00:05, 74.9MB/s]
- 86%|########6 | 2.51G/2.91G [00:39&lt;00:06, 63.1MB/s]
- 86%|########6 | 2.52G/2.91G [00:39&lt;00:07, 58.9MB/s]
- 87%|########6 | 2.53G/2.91G [00:39&lt;00:05, 76.9MB/s]
- 87%|########7 | 2.54G/2.91G [00:39&lt;00:06, 63.5MB/s]
- 88%|########7 | 2.55G/2.91G [00:39&lt;00:06, 60.9MB/s]
- 88%|########7 | 2.55G/2.91G [00:39&lt;00:07, 49.6MB/s]
- 88%|########8 | 2.57G/2.91G [00:40&lt;00:05, 66.8MB/s]
- 89%|########8 | 2.58G/2.91G [00:40&lt;00:04, 75.0MB/s]
- 89%|########8 | 2.59G/2.91G [00:40&lt;00:05, 64.6MB/s]
- 89%|########9 | 2.59G/2.91G [00:40&lt;00:05, 65.4MB/s]
- 90%|########9 | 2.61G/2.91G [00:40&lt;00:04, 81.1MB/s]
- 90%|######### | 2.62G/2.91G [00:40&lt;00:03, 96.6MB/s]
- 90%|######### | 2.63G/2.91G [00:40&lt;00:03, 76.4MB/s]
- 91%|######### | 2.64G/2.91G [00:41&lt;00:03, 77.8MB/s]
- 91%|#########1| 2.65G/2.91G [00:41&lt;00:04, 61.3MB/s]
- 91%|#########1| 2.66G/2.91G [00:41&lt;00:04, 57.3MB/s]
- 92%|#########1| 2.67G/2.91G [00:41&lt;00:03, 81.0MB/s]
- 92%|#########2| 2.69G/2.91G [00:41&lt;00:02, 82.2MB/s]
- 93%|#########2| 2.70G/2.91G [00:41&lt;00:03, 74.7MB/s]
- 93%|#########2| 2.70G/2.91G [00:42&lt;00:03, 62.3MB/s]
- 93%|#########3| 2.71G/2.91G [00:42&lt;00:02, 70.6MB/s]
- 94%|#########3| 2.72G/2.91G [00:42&lt;00:03, 56.6MB/s]
- 94%|#########3| 2.73G/2.91G [00:42&lt;00:03, 55.2MB/s]
- 94%|#########3| 2.73G/2.91G [00:42&lt;00:03, 54.5MB/s]
- 94%|#########4| 2.74G/2.91G [00:42&lt;00:03, 52.7MB/s]
- 94%|#########4| 2.75G/2.91G [00:42&lt;00:02, 66.6MB/s]
- 95%|#########4| 2.76G/2.91G [00:43&lt;00:02, 63.0MB/s]
- 95%|#########5| 2.77G/2.91G [00:43&lt;00:02, 63.6MB/s]
- 95%|#########5| 2.77G/2.91G [00:43&lt;00:03, 40.2MB/s]
- 95%|#########5| 2.78G/2.91G [00:43&lt;00:03, 38.4MB/s]
- 96%|#########5| 2.78G/2.91G [00:43&lt;00:03, 39.9MB/s]
- 96%|#########5| 2.79G/2.91G [00:43&lt;00:03, 37.4MB/s]
- 96%|#########6| 2.80G/2.91G [00:44&lt;00:02, 56.1MB/s]
- 97%|#########6| 2.81G/2.91G [00:44&lt;00:01, 80.1MB/s]
- 97%|#########6| 2.82G/2.91G [00:44&lt;00:01, 76.9MB/s]
- 97%|#########7| 2.83G/2.91G [00:44&lt;00:01, 50.8MB/s]
- 97%|#########7| 2.84G/2.91G [00:44&lt;00:01, 45.7MB/s]
- 98%|#########7| 2.84G/2.91G [00:45&lt;00:02, 36.6MB/s]
- 98%|#########7| 2.85G/2.91G [00:45&lt;00:01, 36.8MB/s]
- 98%|#########8| 2.86G/2.91G [00:45&lt;00:01, 50.4MB/s]
- 98%|#########8| 2.86G/2.91G [00:45&lt;00:01, 43.1MB/s]
- 99%|#########8| 2.87G/2.91G [00:45&lt;00:00, 43.7MB/s]
- 99%|#########8| 2.88G/2.91G [00:45&lt;00:00, 40.9MB/s]
- 99%|#########9| 2.89G/2.91G [00:46&lt;00:00, 54.5MB/s]
- 99%|#########9| 2.90G/2.91G [00:46&lt;00:00, 42.1MB/s]
-100%|#########9| 2.90G/2.91G [00:46&lt;00:00, 43.8MB/s]
-100%|##########| 2.91G/2.91G [00:46&lt;00:00, 67.2MB/s]
+  0%|          | 3.20M/2.91G [00:00&lt;01:33, 33.3MB/s]
+  0%|          | 7.30M/2.91G [00:00&lt;01:19, 39.0MB/s]
+  0%|          | 12.5M/2.91G [00:00&lt;01:07, 46.1MB/s]
+  1%|          | 18.5M/2.91G [00:00&lt;00:59, 52.6MB/s]
+  1%|          | 24.9M/2.91G [00:00&lt;00:53, 57.8MB/s]
+  1%|1         | 31.4M/2.91G [00:00&lt;00:50, 61.1MB/s]
+  1%|1         | 37.2M/2.91G [00:00&lt;00:51, 60.0MB/s]
+  1%|1         | 44.5M/2.91G [00:00&lt;00:47, 65.4MB/s]
+  2%|1         | 51.7M/2.91G [00:00&lt;00:45, 68.0MB/s]
+  2%|1         | 58.2M/2.91G [00:01&lt;00:47, 64.2MB/s]
+  2%|2         | 64.3M/2.91G [00:01&lt;00:49, 61.2MB/s]
+  2%|2         | 71.7M/2.91G [00:01&lt;00:46, 65.8MB/s]
+  3%|2         | 78.1M/2.91G [00:01&lt;00:48, 63.2MB/s]
+  3%|2         | 84.4M/2.91G [00:01&lt;00:47, 64.2MB/s]
+  3%|3         | 90.6M/2.91G [00:01&lt;00:48, 62.9MB/s]
+  3%|3         | 96.6M/2.91G [00:01&lt;00:49, 60.5MB/s]
+  3%|3         | 104M/2.91G [00:01&lt;00:47, 63.9MB/s]
+  4%|3         | 110M/2.91G [00:01&lt;00:46, 64.9MB/s]
+  4%|3         | 117M/2.91G [00:01&lt;00:44, 67.8MB/s]
+  4%|4         | 124M/2.91G [00:02&lt;00:44, 67.3MB/s]
+  4%|4         | 130M/2.91G [00:02&lt;00:45, 65.2MB/s]
+  5%|4         | 136M/2.91G [00:02&lt;00:45, 65.4MB/s]
+  5%|4         | 143M/2.91G [00:02&lt;00:45, 65.8MB/s]
+  5%|5         | 149M/2.91G [00:02&lt;00:46, 63.6MB/s]
+  5%|5         | 156M/2.91G [00:02&lt;00:45, 65.1MB/s]
+  5%|5         | 162M/2.91G [00:02&lt;00:46, 63.8MB/s]
+  6%|5         | 168M/2.91G [00:02&lt;00:48, 60.2MB/s]
+  6%|5         | 175M/2.91G [00:02&lt;00:47, 62.3MB/s]
+  6%|6         | 182M/2.91G [00:03&lt;00:44, 65.8MB/s]
+  6%|6         | 188M/2.91G [00:03&lt;00:47, 62.0MB/s]
+  7%|6         | 194M/2.91G [00:03&lt;00:46, 62.3MB/s]
+  7%|6         | 202M/2.91G [00:03&lt;00:43, 66.9MB/s]
+  7%|6         | 208M/2.91G [00:03&lt;00:44, 64.7MB/s]
+  7%|7         | 215M/2.91G [00:03&lt;00:43, 67.3MB/s]
+  7%|7         | 222M/2.91G [00:03&lt;00:43, 66.4MB/s]
+  8%|7         | 228M/2.91G [00:03&lt;00:43, 66.4MB/s]
+  8%|7         | 236M/2.91G [00:03&lt;00:41, 68.9MB/s]
+  8%|8         | 242M/2.91G [00:03&lt;00:41, 69.0MB/s]
+  8%|8         | 249M/2.91G [00:04&lt;00:41, 68.6MB/s]
+  9%|8         | 255M/2.91G [00:04&lt;00:42, 66.5MB/s]
+  9%|8         | 262M/2.91G [00:04&lt;00:45, 62.9MB/s]
+  9%|8         | 268M/2.91G [00:04&lt;00:46, 61.7MB/s]
+  9%|9         | 275M/2.91G [00:04&lt;00:43, 64.6MB/s]
+  9%|9         | 281M/2.91G [00:04&lt;00:44, 63.1MB/s]
+ 10%|9         | 287M/2.91G [00:04&lt;00:46, 60.7MB/s]
+ 10%|9         | 293M/2.91G [00:04&lt;00:45, 61.7MB/s]
+ 10%|#         | 299M/2.91G [00:05&lt;00:55, 50.3MB/s]
+ 10%|#         | 307M/2.91G [00:05&lt;00:48, 58.0MB/s]
+ 10%|#         | 313M/2.91G [00:05&lt;00:50, 55.0MB/s]
+ 11%|#         | 318M/2.91G [00:05&lt;00:51, 54.1MB/s]
+ 11%|#         | 324M/2.91G [00:05&lt;00:51, 53.7MB/s]
+ 11%|#1        | 329M/2.91G [00:05&lt;00:51, 54.1MB/s]
+ 11%|#1        | 334M/2.91G [00:05&lt;00:53, 52.3MB/s]
+ 11%|#1        | 340M/2.91G [00:05&lt;00:50, 55.3MB/s]
+ 12%|#1        | 345M/2.91G [00:05&lt;00:51, 53.8MB/s]
+ 12%|#1        | 353M/2.91G [00:06&lt;00:46, 59.8MB/s]
+ 12%|#2        | 358M/2.91G [00:06&lt;00:53, 51.0MB/s]
+ 12%|#2        | 366M/2.91G [00:06&lt;00:47, 57.8MB/s]
+ 13%|#2        | 373M/2.91G [00:06&lt;00:44, 61.4MB/s]
+ 13%|#2        | 379M/2.91G [00:06&lt;00:43, 62.5MB/s]
+ 13%|#2        | 385M/2.91G [00:06&lt;00:43, 62.3MB/s]
+ 13%|#3        | 391M/2.91G [00:06&lt;00:45, 59.2MB/s]
+ 13%|#3        | 398M/2.91G [00:06&lt;00:43, 62.4MB/s]
+ 14%|#3        | 405M/2.91G [00:06&lt;00:40, 67.4MB/s]
+ 14%|#3        | 413M/2.91G [00:06&lt;00:38, 70.6MB/s]
+ 14%|#4        | 420M/2.91G [00:07&lt;00:38, 69.4MB/s]
+ 14%|#4        | 426M/2.91G [00:07&lt;00:38, 68.7MB/s]
+ 15%|#4        | 433M/2.91G [00:07&lt;00:40, 66.1MB/s]
+ 15%|#4        | 439M/2.91G [00:07&lt;00:41, 64.0MB/s]
+ 15%|#4        | 446M/2.91G [00:07&lt;00:40, 66.2MB/s]
+ 15%|#5        | 453M/2.91G [00:07&lt;00:38, 68.0MB/s]
+ 15%|#5        | 461M/2.91G [00:07&lt;00:36, 72.3MB/s]
+ 16%|#5        | 468M/2.91G [00:07&lt;00:39, 66.1MB/s]
+ 16%|#5        | 474M/2.91G [00:07&lt;00:42, 62.3MB/s]
+ 16%|#6        | 481M/2.91G [00:08&lt;00:43, 59.7MB/s]
+ 16%|#6        | 487M/2.91G [00:08&lt;00:42, 61.5MB/s]
+ 17%|#6        | 493M/2.91G [00:08&lt;00:45, 56.9MB/s]
+ 17%|#6        | 498M/2.91G [00:08&lt;00:46, 56.3MB/s]
+ 17%|#6        | 505M/2.91G [00:08&lt;00:43, 59.4MB/s]
+ 17%|#7        | 511M/2.91G [00:08&lt;00:44, 58.6MB/s]
+ 17%|#7        | 516M/2.91G [00:08&lt;00:44, 58.3MB/s]
+ 18%|#7        | 522M/2.91G [00:08&lt;00:42, 60.1MB/s]
+ 18%|#7        | 529M/2.91G [00:08&lt;00:41, 61.4MB/s]
+ 18%|#7        | 535M/2.91G [00:09&lt;00:39, 64.5MB/s]
+ 18%|#8        | 543M/2.91G [00:09&lt;00:37, 67.3MB/s]
+ 18%|#8        | 549M/2.91G [00:09&lt;00:39, 63.7MB/s]
+ 19%|#8        | 555M/2.91G [00:09&lt;00:39, 64.6MB/s]
+ 19%|#8        | 562M/2.91G [00:09&lt;00:40, 62.0MB/s]
+ 19%|#9        | 568M/2.91G [00:09&lt;00:42, 59.5MB/s]
+ 19%|#9        | 575M/2.91G [00:09&lt;00:39, 63.8MB/s]
+ 20%|#9        | 581M/2.91G [00:09&lt;00:38, 65.1MB/s]
+ 20%|#9        | 589M/2.91G [00:09&lt;00:36, 68.8MB/s]
+ 20%|#9        | 595M/2.91G [00:10&lt;00:40, 62.3MB/s]
+ 20%|##        | 601M/2.91G [00:10&lt;00:58, 42.3MB/s]
+ 20%|##        | 610M/2.91G [00:10&lt;00:46, 53.2MB/s]
+ 21%|##        | 617M/2.91G [00:10&lt;00:43, 56.5MB/s]
+ 21%|##        | 624M/2.91G [00:10&lt;00:39, 62.3MB/s]
+ 21%|##1       | 631M/2.91G [00:10&lt;00:39, 62.8MB/s]
+ 21%|##1       | 639M/2.91G [00:10&lt;00:36, 67.3MB/s]
+ 22%|##1       | 646M/2.91G [00:10&lt;00:34, 70.9MB/s]
+ 22%|##1       | 653M/2.91G [00:11&lt;00:34, 71.1MB/s]
+ 22%|##2       | 661M/2.91G [00:11&lt;00:33, 72.8MB/s]
+ 22%|##2       | 668M/2.91G [00:11&lt;00:36, 66.7MB/s]
+ 23%|##2       | 674M/2.91G [00:11&lt;00:36, 65.5MB/s]
+ 23%|##2       | 682M/2.91G [00:11&lt;00:35, 68.1MB/s]
+ 23%|##3       | 688M/2.91G [00:11&lt;00:35, 68.5MB/s]
+ 23%|##3       | 695M/2.91G [00:11&lt;00:40, 59.2MB/s]
+ 24%|##3       | 701M/2.91G [00:11&lt;00:38, 61.9MB/s]
+ 24%|##3       | 709M/2.91G [00:11&lt;00:35, 66.6MB/s]
+ 24%|##4       | 716M/2.91G [00:12&lt;00:35, 66.0MB/s]
+ 24%|##4       | 722M/2.91G [00:12&lt;00:35, 65.8MB/s]
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+ 80%|########  | 2.33G/2.91G [00:40&lt;00:10, 60.6MB/s]
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+100%|#########9| 2.90G/2.91G [00:51&lt;00:00, 63.9MB/s]
+100%|#########9| 2.91G/2.91G [00:51&lt;00:00, 68.1MB/s]
+100%|##########| 2.91G/2.91G [00:51&lt;00:00, 61.0MB/s]
 PretrainedFiles(lexicon=&#39;/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lexicon.txt&#39;, tokens=&#39;/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/tokens.txt&#39;, lm=&#39;/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lm.bin&#39;)
 </pre></div>
 </div>
@@ -1150,10 +1329,10 @@ <h3>beam size<a class="headerlink" href="#beam-size" title="Permalink to this he
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;beam size&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">beam_size</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.2948 secs)
-beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0531 secs)
-beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2821 secs)
-beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.6548 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.1489 secs)
+beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0613 secs)
+beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2009 secs)
+beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.7382 secs)
 </pre></div>
 </div>
 </div>
@@ -1179,10 +1358,10 @@ <h3>beam size token<a class="headerlink" href="#beam-size-token" title="Permalin
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;beam size token&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">beam_size_token</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.1817 secs)
-beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.2327 secs)
-beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.2275 secs)
-beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2671 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.2837 secs)
+beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.2069 secs)
+beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.2835 secs)
+beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.3178 secs)
 </pre></div>
 </div>
 </div>
@@ -1209,10 +1388,10 @@ <h3>beam threshold<a class="headerlink" href="#beam-threshold" title="Permalink
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;beam threshold&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">beam_threshold</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0437 secs)
-beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0916 secs)
-beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2690 secs)
-beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2620 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0336 secs)
+beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.1956 secs)
+beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2448 secs)
+beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2949 secs)
 </pre></div>
 </div>
 </div>
@@ -1237,9 +1416,9 @@ <h3>language model weight<a class="headerlink" href="#language-model-weight" tit
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;lm weight&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lm_weight</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.2854 secs)
-lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.4206 secs)
-lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.3405 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.3159 secs)
+lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.3100 secs)
+lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.2866 secs)
 </pre></div>
 </div>
 </div>
@@ -1252,7 +1431,7 @@ <h3>additional parameters<a class="headerlink" href="#additional-parameters" tit
 <li><p><code class="docutils literal notranslate"><span class="pre">sil_score</span></code>: silence appearance score to add</p></li>
 <li><p><code class="docutils literal notranslate"><span class="pre">log_add</span></code>: whether to use log add for lexicon Trie smearing</p></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes  47.241 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes  58.118 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-asr-inference-with-ctc-decoder-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/da151acc525ba1fb468e2a4904659af1/asr_inference_with_ctc_decoder_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">asr_inference_with_ctc_decoder_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_data_augmentation_tutorial.html b/main/tutorials/audio_data_augmentation_tutorial.html
index a04a62ad58..8b97baf4a7 100644
--- a/main/tutorials/audio_data_augmentation_tutorial.html
+++ b/main/tutorials/audio_data_augmentation_tutorial.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
@@ -399,8 +399,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220817
-0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220818
+0.13.0.dev20220818
 </pre></div>
 </div>
 <div class="section" id="preparation">
@@ -420,13 +420,13 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/427k [00:00&lt;?, ?B/s]
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 </pre></div>
 </div>
 </div>
@@ -1005,7 +1005,7 @@ <h3>Codec aplied:<a class="headerlink" href="#codec-aplied" title="Permalink to
 
 </div>
 <br />
-<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  12.088 seconds)</p>
+<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  12.452 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-data-augmentation-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/5035f46f2e1c1557dfa0ffabb90a0b0a/audio_data_augmentation_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_data_augmentation_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_datasets_tutorial.html b/main/tutorials/audio_datasets_tutorial.html
index 42384c4b8a..62de263eed 100644
--- a/main/tutorials/audio_datasets_tutorial.html
+++ b/main/tutorials/audio_datasets_tutorial.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
@@ -401,8 +401,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220817
-0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220818
+0.13.0.dev20220818
 </pre></div>
 </div>
 <div class="section" id="preparing-data-and-utility-functions-skip-this-section">
@@ -473,17 +473,18 @@ <h2>Preparing data and utility functions (skip this section)<a class="headerlink
 <li><img src="../_images/sphx_glr_audio_datasets_tutorial_003.png" srcset="../_images/sphx_glr_audio_datasets_tutorial_003.png" alt="Sample 5: [0, 0, 1, 0, 0, 1, 1, 1]" class = "sphx-glr-multi-img"/></li>
 </ul>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/4.49M [00:00&lt;?, ?B/s]
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 &lt;IPython.lib.display.Audio object&gt;
 &lt;IPython.lib.display.Audio object&gt;
 &lt;IPython.lib.display.Audio object&gt;
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.882 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.030 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-datasets-tutorial-py">
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 <p><a class="reference download internal" download="" href="../_downloads/85c13601458553ad52e6b12e51df5327/audio_datasets_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_datasets_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_feature_augmentation_tutorial.html b/main/tutorials/audio_feature_augmentation_tutorial.html
index 572dcb621d..8a7afffd24 100644
--- a/main/tutorials/audio_feature_augmentation_tutorial.html
+++ b/main/tutorials/audio_feature_augmentation_tutorial.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
@@ -399,8 +399,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220817
-0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220818
+0.13.0.dev20220818
 </pre></div>
 </div>
 <div class="section" id="preparing-data-and-utility-functions-skip-this-section">
@@ -556,7 +556,7 @@ <h2>FrequencyMasking<a class="headerlink" href="#frequencymasking" title="Permal
 <li><img src="../_images/sphx_glr_audio_feature_augmentation_tutorial_006.png" srcset="../_images/sphx_glr_audio_feature_augmentation_tutorial_006.png" alt="Original" class = "sphx-glr-multi-img"/></li>
 <li><img src="../_images/sphx_glr_audio_feature_augmentation_tutorial_007.png" srcset="../_images/sphx_glr_audio_feature_augmentation_tutorial_007.png" alt="Masked along frequency axis" class = "sphx-glr-multi-img"/></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.761 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.677 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-feature-augmentation-tutorial-py">
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 <p><a class="reference download internal" download="" href="../_downloads/990b89939a1ec55aa67059703f290ab8/audio_feature_augmentation_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_feature_augmentation_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_feature_extractions_tutorial.html b/main/tutorials/audio_feature_extractions_tutorial.html
index a8e8ca214c..bfd25d310a 100644
--- a/main/tutorials/audio_feature_extractions_tutorial.html
+++ b/main/tutorials/audio_feature_extractions_tutorial.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
@@ -404,8 +404,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220817
-0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220818
+0.13.0.dev20220818
 </pre></div>
 </div>
 <div class="section" id="preparation">
@@ -811,7 +811,7 @@ <h2>Kaldi Pitch (beta)<a class="headerlink" href="#kaldi-pitch-beta" title="Perm
 <span class="n">plot_kaldi_pitch</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">SPEECH_WAVEFORM</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">SAMPLE_RATE</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pitch</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">nfcc</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" srcset="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" alt="Kaldi Pitch Feature" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  5.114 seconds)</p>
+<img src="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" srcset="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" alt="Kaldi Pitch Feature" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  5.218 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-feature-extractions-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/0face80178ed0d1cefd2a173a7262afb/audio_feature_extractions_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_feature_extractions_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_io_tutorial.html b/main/tutorials/audio_io_tutorial.html
index cb7ea67d0e..97265cc7ea 100644
--- a/main/tutorials/audio_io_tutorial.html
+++ b/main/tutorials/audio_io_tutorial.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
@@ -396,8 +396,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220817
-0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220818
+0.13.0.dev20220818
 </pre></div>
 </div>
 <div class="section" id="preparation">
@@ -430,13 +430,13 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/7.99k [00:00&lt;?, ?B/s]
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+100%|##########| 53.2k/53.2k [00:00&lt;00:00, 33.1MB/s]
 </pre></div>
 </div>
 </div>
@@ -607,7 +607,7 @@ <h2>Loading from file-like object<a class="headerlink" href="#loading-from-file-
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_audio_io_tutorial_004.png" srcset="../_images/sphx_glr_audio_io_tutorial_004.png" alt="TAR file" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/110k [00:00&lt;?, ?B/s]
-100%|##########| 110k/110k [00:00&lt;00:00, 16.4MB/s]
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 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># Load audio from S3</span>
@@ -703,7 +703,7 @@ <h2>Saving audio to file<a class="headerlink" href="#saving-audio-to-file" title
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>----------
-Source: /tmp/tmplq0nog25/save_example_default.wav
+Source: /tmp/tmpyyqqc5l5/save_example_default.wav
 ----------
  - File size: 217658 bytes
  - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=32, encoding=PCM_F)
@@ -718,7 +718,7 @@ <h2>Saving audio to file<a class="headerlink" href="#saving-audio-to-file" title
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>----------
-Source: /tmp/tmprkem4g5o/save_example_PCM_S16.wav
+Source: /tmp/tmpycjk83nk/save_example_PCM_S16.wav
 ----------
  - File size: 108844 bytes
  - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=16, encoding=PCM_S)
@@ -745,37 +745,37 @@ <h2>Saving audio to file<a class="headerlink" href="#saving-audio-to-file" title
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>----------
-Source: /tmp/tmpr9ov9tg7/save_example.flac
+Source: /tmp/tmpfcjjo2ts/save_example.flac
 ----------
  - File size: 37141 bytes
  - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=24, encoding=FLAC)
 
 ----------
-Source: /tmp/tmpr9ov9tg7/save_example.vorbis
+Source: /tmp/tmpfcjjo2ts/save_example.vorbis
 ----------
  - File size: 12588 bytes
  - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=0, encoding=VORBIS)
 
 ----------
-Source: /tmp/tmpr9ov9tg7/save_example.sph
+Source: /tmp/tmpfcjjo2ts/save_example.sph
 ----------
  - File size: 109824 bytes
  - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=32, encoding=PCM_S)
 
 ----------
-Source: /tmp/tmpr9ov9tg7/save_example.amb
+Source: /tmp/tmpfcjjo2ts/save_example.amb
 ----------
  - File size: 108858 bytes
  - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=32, encoding=PCM_F)
 
 ----------
-Source: /tmp/tmpr9ov9tg7/save_example.amr-nb
+Source: /tmp/tmpfcjjo2ts/save_example.amr-nb
 ----------
  - File size: 2008 bytes
  - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=0, encoding=AMR_NB)
 
 ----------
-Source: /tmp/tmpr9ov9tg7/save_example.gsm
+Source: /tmp/tmpfcjjo2ts/save_example.gsm
 ----------
  - File size: 5610 bytes
  - AudioMetaData(sample_rate=8000, num_frames=0, num_channels=1, bits_per_sample=0, encoding=GSM)
@@ -800,7 +800,7 @@ <h2>Saving to file-like object<a class="headerlink" href="#saving-to-file-like-o
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>b&#39;RIFF2R\x03\x00WAVEfmt &#39;
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.989 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.684 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-io-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/a50b7a9d7eda039b9579621100be1417/audio_io_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_io_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_resampling_tutorial.html b/main/tutorials/audio_resampling_tutorial.html
index 02bb107903..142afb707e 100644
--- a/main/tutorials/audio_resampling_tutorial.html
+++ b/main/tutorials/audio_resampling_tutorial.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
@@ -397,8 +397,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220817
-0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220818
+0.13.0.dev20220818
 </pre></div>
 </div>
 <div class="section" id="preparation">
@@ -843,41 +843,41 @@ <h2>Performance Benchmarking<a class="headerlink" href="#performance-benchmarkin
     <span class="n">display</span><span class="p">(</span><span class="n">df</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>torchaudio: 0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>torchaudio: 0.13.0.dev20220818
 librosa: 0.9.2
                 downsample (48 -&gt; 44.1 kHz) time (ms)
                                               librosa functional transforms
-sinc (width 64)                                   NaN       2.47       0.33
-sinc (width 16)                                   NaN       1.40       0.40
-kaiser_best                                     63.76       2.17       0.33
-kaiser_fast                                      9.39       1.91       0.38
-torchaudio: 0.13.0.dev20220817
+sinc (width 64)                                   NaN       2.71       0.38
+sinc (width 16)                                   NaN       1.47       0.42
+kaiser_best                                     66.49       2.41       0.39
+kaiser_fast                                      9.20       2.08       0.43
+torchaudio: 0.13.0.dev20220818
 librosa: 0.9.2
                 downsample (16 -&gt; 8 kHz) time (ms)
                                            librosa functional transforms
-sinc (width 64)                                NaN       1.05       0.77
-sinc (width 16)                                NaN       0.58       0.36
-kaiser_best                                  12.31       1.19       0.82
-kaiser_fast                                   4.36       0.67       0.37
-torchaudio: 0.13.0.dev20220817
+sinc (width 64)                                NaN       1.07       0.76
+sinc (width 16)                                NaN       0.57       0.33
+kaiser_best                                  11.89       1.24       0.79
+kaiser_fast                                   3.90       0.73       0.37
+torchaudio: 0.13.0.dev20220818
 librosa: 0.9.2
                 upsample (44.1 -&gt; 48 kHz) time (ms)
                                             librosa functional transforms
-sinc (width 64)                                 NaN       2.46       0.34
-sinc (width 16)                                 NaN       1.40       0.38
-kaiser_best                                   33.02       2.20       0.33
-kaiser_fast                                    9.46       1.87       0.39
-torchaudio: 0.13.0.dev20220817
+sinc (width 64)                                 NaN       2.63       0.41
+sinc (width 16)                                 NaN       1.58       0.43
+kaiser_best                                   38.47       2.34       0.39
+kaiser_fast                                    9.18       2.02       0.43
+torchaudio: 0.13.0.dev20220818
 librosa: 0.9.2
                 upsample (8 -&gt; 16 kHz) time (ms)
                                          librosa functional transforms
-sinc (width 64)                              NaN       0.53       0.29
-sinc (width 16)                              NaN       0.38       0.18
-kaiser_best                                12.49       0.68       0.30
-kaiser_fast                                 4.37       0.45       0.20
+sinc (width 64)                              NaN       0.61       0.33
+sinc (width 16)                              NaN       0.38       0.20
+kaiser_best                                12.34       0.76       0.42
+kaiser_fast                                 3.99       0.51       0.19
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.397 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.589 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-resampling-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/59ad7db3945dd23dbc0f8d9eef766370/audio_resampling_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_resampling_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/device_asr.html b/main/tutorials/device_asr.html
index 103d5a5dbf..9e68d21385 100644
--- a/main/tutorials/device_asr.html
+++ b/main/tutorials/device_asr.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
diff --git a/main/tutorials/forced_alignment_tutorial.html b/main/tutorials/forced_alignment_tutorial.html
index 65785b90d8..2d6464f1f7 100644
--- a/main/tutorials/forced_alignment_tutorial.html
+++ b/main/tutorials/forced_alignment_tutorial.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
@@ -403,8 +403,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220817
-0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220818
+0.13.0.dev20220818
 cpu
 </pre></div>
 </div>
@@ -1159,7 +1159,7 @@ <h3>Visualization<a class="headerlink" href="#id4" title="Permalink to this head
 <h2>Conclusion<a class="headerlink" href="#conclusion" title="Permalink to this headline">¶</a></h2>
 <p>In this tutorial, we looked how to use torchaudio’s Wav2Vec2 model to
 perform CTC segmentation for forced alignment.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.387 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.394 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-forced-alignment-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/fa57890a830bd47c0baa254781b3a8e1/forced_alignment_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">forced_alignment_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/hybrid_demucs_tutorial.html b/main/tutorials/hybrid_demucs_tutorial.html
index a143d44df6..6cf20b2c06 100644
--- a/main/tutorials/hybrid_demucs_tutorial.html
+++ b/main/tutorials/hybrid_demucs_tutorial.html
@@ -199,7 +199,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
@@ -416,8 +416,8 @@ <h2>2. Preparation<a class="headerlink" href="#preparation" title="Permalink to
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220817
-0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220818
+0.13.0.dev20220818
 </pre></div>
 </div>
 <p>In addition to <code class="docutils literal notranslate"><span class="pre">torchaudio</span></code>, <code class="docutils literal notranslate"><span class="pre">mir_eval</span></code> is required to perform
@@ -474,39 +474,55 @@ <h2>3. Construct the pipeline<a class="headerlink" href="#construct-the-pipeline
 </pre></div>
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 Sample rate: 44100
 </pre></div>
 </div>
@@ -633,8 +649,11 @@ <h2>5. Run Model<a class="headerlink" href="#run-model" title="Permalink to this
 </pre></div>
 </div>
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+100%|##########| 28.8M/28.8M [00:00&lt;00:00, 56.4MB/s]
 Separating track
 </pre></div>
 </div>
@@ -702,16 +721,16 @@ <h3>5.2 Audio Segmenting and Processing<a class="headerlink" href="#audio-segmen
 </pre></div>
 </div>
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 </pre></div>
 </div>
 </div>
@@ -825,7 +844,7 @@ <h3>5.3 Spectrograms and Audio<a class="headerlink" href="#spectrograms-and-audi
 <span class="c1"># Audio(audios[&quot;other&quot;], rate=sample_rate)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  1.935 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  20.552 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-hybrid-demucs-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/d7783185e54fb77cb13eb7133fa130a3/hybrid_demucs_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">hybrid_demucs_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/mvdr_tutorial.html b/main/tutorials/mvdr_tutorial.html
index 5c83fecf8f..c86bf62587 100644
--- a/main/tutorials/mvdr_tutorial.html
+++ b/main/tutorials/mvdr_tutorial.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
@@ -414,8 +414,8 @@ <h2>1. Overview<a class="headerlink" href="#overview" title="Permalink to this h
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220817
-0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220818
+0.13.0.dev20220818
 </pre></div>
 </div>
 </div>
@@ -465,10 +465,10 @@ <h3>2.2. Download audio data<a class="headerlink" href="#download-audio-data" ti
 </pre></div>
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 </pre></div>
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@@ -815,7 +815,7 @@ <h3>6.4. Result for RTFMVDR with <cite>rtf_power</cite><a class="headerlink" hre
 
 </div>
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 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-mvdr-tutorial-py">
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diff --git a/main/tutorials/online_asr_tutorial.html b/main/tutorials/online_asr_tutorial.html
index 73f41b64e5..0a600b819e 100644
--- a/main/tutorials/online_asr_tutorial.html
+++ b/main/tutorials/online_asr_tutorial.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
@@ -447,8 +447,8 @@ <h2>2. Preparation<a class="headerlink" href="#preparation" title="Permalink to
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220817
-0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220818
+0.13.0.dev20220818
 </pre></div>
 </div>
 </div>
@@ -466,39 +466,44 @@ <h2>3. Construct the pipeline<a class="headerlink" href="#construct-the-pipeline
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 </pre></div>
 </div>
 <p>Streaming inference works on input data with overlap.
@@ -719,7 +724,7 @@ <h2>5. Run stream inference<a class="headerlink" href="#run-stream-inference" ti
 
 </div>
 <br />
-<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  3.272 seconds)</p>
+<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  59.200 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-online-asr-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/f9f593098569966df0b815e29c13dd20/online_asr_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">online_asr_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/sg_execution_times.html b/main/tutorials/sg_execution_times.html
index b74d3e1ebe..68e60cc03d 100644
--- a/main/tutorials/sg_execution_times.html
+++ b/main/tutorials/sg_execution_times.html
@@ -198,7 +198,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
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@@ -380,7 +380,7 @@
               
   <div class="section" id="computation-times">
 <span id="sphx-glr-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>08:48.660</strong> total execution time for <strong>tutorials</strong> files:</p>
+<p><strong>09:01.551</strong> total execution time for <strong>tutorials</strong> files:</p>
 <table class="docutils align-default">
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-<tr class="row-odd"><td><p><a class="reference internal" href="online_asr_tutorial.html#sphx-glr-tutorials-online-asr-tutorial-py"><span class="std std-ref">Online ASR with Emformer RNN-T</span></a> (<code class="docutils literal notranslate"><span class="pre">online_asr_tutorial.py</span></code>)</p></td>
-<td><p>01:03.272</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="hybrid_demucs_tutorial.html#sphx-glr-tutorials-hybrid-demucs-tutorial-py"><span class="std std-ref">Music Source Separation with Hybrid Demucs</span></a> (<code class="docutils literal notranslate"><span class="pre">hybrid_demucs_tutorial.py</span></code>)</p></td>
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-<tr class="row-even"><td><p><a class="reference internal" href="hybrid_demucs_tutorial.html#sphx-glr-tutorials-hybrid-demucs-tutorial-py"><span class="std std-ref">Music Source Separation with Hybrid Demucs</span></a> (<code class="docutils literal notranslate"><span class="pre">hybrid_demucs_tutorial.py</span></code>)</p></td>
-<td><p>01:01.935</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="online_asr_tutorial.html#sphx-glr-tutorials-online-asr-tutorial-py"><span class="std std-ref">Online ASR with Emformer RNN-T</span></a> (<code class="docutils literal notranslate"><span class="pre">online_asr_tutorial.py</span></code>)</p></td>
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-<td><p>00:02.490</p></td>
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diff --git a/main/tutorials/speech_recognition_pipeline_tutorial.html b/main/tutorials/speech_recognition_pipeline_tutorial.html
index a3578e76c1..71e0bddbc9 100644
--- a/main/tutorials/speech_recognition_pipeline_tutorial.html
+++ b/main/tutorials/speech_recognition_pipeline_tutorial.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
@@ -436,8 +436,8 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
         <a href="https://docs.python.org/3/library/io.html#io.BufferedWriter" title="io.BufferedWriter" class="sphx-glr-backref-module-io sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">file</span></a><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">requests</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">SPEECH_URL</span></a><span class="p">)</span><span class="o">.</span><span class="n">content</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220817
-0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220818
+0.13.0.dev20220818
 cpu
 </pre></div>
 </div>
@@ -482,60 +482,62 @@ <h2>Creating a pipeline<a class="headerlink" href="#creating-a-pipeline" title="
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ls960.pth&quot; to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ls960.pth
 
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 &lt;class &#39;torchaudio.models.wav2vec2.model.Wav2Vec2Model&#39;&gt;
 </pre></div>
 </div>
@@ -707,7 +709,7 @@ <h2>Conclusion<a class="headerlink" href="#conclusion" title="Permalink to this
 <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">waveforms</span><span class="p">,</span> <span class="o">...</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  10.819 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  10.999 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-speech-recognition-pipeline-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/a0b5016bbf34fce4ac5549f4075dd10f/speech_recognition_pipeline_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">speech_recognition_pipeline_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/streaming_api2_tutorial.html b/main/tutorials/streaming_api2_tutorial.html
index edc5993fe7..e73a1d262d 100644
--- a/main/tutorials/streaming_api2_tutorial.html
+++ b/main/tutorials/streaming_api2_tutorial.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
@@ -402,8 +402,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220817
-0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220818
+0.13.0.dev20220818
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">try</span><span class="p">:</span>
@@ -844,7 +844,7 @@ <h4>Pixel manipulation<a class="headerlink" href="#pixel-manipulation" title="Pe
 <img src="../_images/sphx_glr_streaming_api2_tutorial_009.png" srcset="../_images/sphx_glr_streaming_api2_tutorial_009.png" alt="streaming api2 tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>filter_desc: fps=10,geq=r=&#39;X/W*r(X,Y)&#39;:g=&#39;(1-X/W)*g(X,Y)&#39;:b=&#39;(H-Y)/H*b(X,Y)&#39;,format=pix_fmts=rgb24
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  10.449 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  9.146 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-streaming-api2-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/926f439fd16d4ccb92acd6adc408f495/streaming_api2_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">streaming_api2_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/streaming_api_tutorial.html b/main/tutorials/streaming_api_tutorial.html
index 2c2b4db932..58e89977f1 100644
--- a/main/tutorials/streaming_api_tutorial.html
+++ b/main/tutorials/streaming_api_tutorial.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
@@ -439,8 +439,8 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220817
-0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220818
+0.13.0.dev20220818
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">try</span><span class="p">:</span>
@@ -944,7 +944,7 @@ <h3>Streaming<a class="headerlink" href="#id2" title="Permalink to this headline
 <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">(</span><span class="n">block</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_streaming_api_tutorial_001.png" srcset="../_images/sphx_glr_streaming_api_tutorial_001.png" alt="Iteration 0, Iteration 1, Iteration 2" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  20.297 seconds)</p>
+<img src="../_images/sphx_glr_streaming_api_tutorial_001.png" srcset="../_images/sphx_glr_streaming_api_tutorial_001.png" alt="Iteration 0, Iteration 1, Iteration 2" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  19.738 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-streaming-api-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/871e7b2703012d711d6f499a09b24e8a/streaming_api_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">streaming_api_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/tacotron2_pipeline_tutorial.html b/main/tutorials/tacotron2_pipeline_tutorial.html
index 4c6647c58a..031ed5164e 100644
--- a/main/tutorials/tacotron2_pipeline_tutorial.html
+++ b/main/tutorials/tacotron2_pipeline_tutorial.html
@@ -200,7 +200,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html">Nightly Build (0.13.0.dev20220817) &#x25BC</a>
+      <a href="../../versions.html">Nightly Build (0.13.0.dev20220818) &#x25BC</a>
     </div>
     
 
@@ -444,8 +444,8 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220817
-0.13.0.dev20220817
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.13.0.dev20220818
+0.13.0.dev20220818
 cpu
 </pre></div>
 </div>
@@ -539,31 +539,35 @@ <h3>Phoneme-based encoding<a class="headerlink" href="#phoneme-based-encoding" t
 </pre></div>
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 tensor([[54, 20, 65, 69, 11, 92, 44, 65, 38,  2, 11, 81, 40, 64, 79, 81, 11, 81,
          20, 11, 79, 77, 59, 37,  2]])
 tensor([25], dtype=torch.int32)
@@ -610,21 +614,26 @@ <h2>Spectrogram Generation<a class="headerlink" href="#spectrogram-generation" t
 <img src="../_images/sphx_glr_tacotron2_pipeline_tutorial_001.png" srcset="../_images/sphx_glr_tacotron2_pipeline_tutorial_001.png" alt="tacotron2 pipeline tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://download.pytorch.org/torchaudio/models/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth&quot; to /root/.cache/torch/hub/checkpoints/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth
 
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 <p>Note that <code class="docutils literal notranslate"><span class="pre">Tacotron2.infer</span></code> method perfoms multinomial sampling,
@@ -680,9 +689,9 @@ <h3>WaveRNN<a class="headerlink" href="#wavernn" title="Permalink to this headli
 <img src="../_images/sphx_glr_tacotron2_pipeline_tutorial_003.png" srcset="../_images/sphx_glr_tacotron2_pipeline_tutorial_003.png" alt="tacotron2 pipeline tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://download.pytorch.org/torchaudio/models/wavernn_10k_epochs_8bits_ljspeech.pth&quot; to /root/.cache/torch/hub/checkpoints/wavernn_10k_epochs_8bits_ljspeech.pth
 
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 </div>
 <br />
-<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes  43.540 seconds)</p>
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 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-tacotron2-pipeline-tutorial-py">
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 <p><a class="reference download internal" download="" href="../_downloads/9772cbd0af96f57f17a2da758b365a43/tacotron2_pipeline_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tacotron2_pipeline_tutorial.py</span></code></a></p>
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