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Regenerate 0.12.1
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This incorporates #2629, which is a fix
for the latest Sphinx-Gallery.
mthrok committed Aug 18, 2022
1 parent 94c8a97 commit ead6966
Showing 135 changed files with 700 additions and 790 deletions.
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@@ -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:
4 changes: 2 additions & 2 deletions 0.12.1/_sources/tutorials/audio_datasets_tutorial.rst.txt
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@@ -172,7 +172,7 @@ Here, we show how to use the

.. code-block:: none
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<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:
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@@ -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:
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@@ -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:
26 changes: 13 additions & 13 deletions 0.12.1/_sources/tutorials/audio_io_tutorial.rst.txt
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@@ -452,7 +452,7 @@ The following examples illustrate this.

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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:
34 changes: 17 additions & 17 deletions 0.12.1/_sources/tutorials/audio_resampling_tutorial.rst.txt
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@@ -810,42 +810,42 @@ 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
.. 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:
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@@ -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:
6 changes: 3 additions & 3 deletions 0.12.1/_sources/tutorials/mvdr_tutorial.rst.txt
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@@ -156,8 +156,8 @@ which was generated with:

.. code-block:: none

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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 2.279 seconds)
**Total running time of the script:** ( 0 minutes 2.999 seconds)


.. _sphx_glr_download_tutorials_mvdr_tutorial.py:
8 changes: 4 additions & 4 deletions 0.12.1/_sources/tutorials/online_asr_tutorial.rst.txt
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@@ -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:
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