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Add hybrid model support to transcribe_speech_parallel.py #6906

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Jun 22, 2023
Merged

Add hybrid model support to transcribe_speech_parallel.py #6906

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6972e67
Add hybrid model support to transcribe_speech_parallel.py
stevehuang52 Jun 22, 2023
8e3de75
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jun 22, 2023
3335bb4
Update audio_to_text_dataset.py
stevehuang52 Jun 22, 2023
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18 changes: 17 additions & 1 deletion examples/asr/transcribe_speech_parallel.py
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Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,15 @@
predict_ds.batch_size=16 \
output_path=/tmp/

Example for Hybrid-CTC/RNNT models with non-tarred datasets:

python transcribe_speech_parallel.py \
model=stt_en_fastconformer_hybrid_large \
decoder_type=ctc \
predict_ds.manifest_filepath=/dataset/manifest_file.json \
predict_ds.batch_size=16 \
output_path=/tmp/

Example for tarred datasets:

python transcribe_speech_parallel.py \
Expand Down Expand Up @@ -73,7 +82,7 @@
from nemo.collections.asr.data.audio_to_text_dataset import ASRPredictionWriter
from nemo.collections.asr.metrics.rnnt_wer import RNNTDecodingConfig
from nemo.collections.asr.metrics.wer import word_error_rate
from nemo.collections.asr.models import ASRModel
from nemo.collections.asr.models import ASRModel, EncDecHybridRNNTCTCModel
from nemo.collections.asr.models.configs.asr_models_config import ASRDatasetConfig
from nemo.core.config import TrainerConfig, hydra_runner
from nemo.utils import logging
Expand All @@ -92,6 +101,10 @@ class ParallelTranscriptionConfig:

# decoding strategy for RNNT models
rnnt_decoding: RNNTDecodingConfig = RNNTDecodingConfig()

# decoder for hybrid models, must be one of 'ctc', 'rnnt' if not None
decoder_type: Optional[str] = None

trainer: TrainerConfig = TrainerConfig(devices=-1, accelerator="gpu", strategy="ddp")


Expand Down Expand Up @@ -137,6 +150,9 @@ def main(cfg: ParallelTranscriptionConfig):
)
model = ASRModel.from_pretrained(model_name=cfg.model, map_location="cpu")

if isinstance(model, EncDecHybridRNNTCTCModel) and cfg.decoder_type is not None:
model.change_decoding_strategy(decoder_type=cfg.decoder_type)

trainer = ptl.Trainer(**cfg.trainer)

cfg.predict_ds.return_sample_id = True
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1 change: 1 addition & 0 deletions nemo/collections/asr/data/audio_to_text_dataset.py
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Expand Up @@ -713,6 +713,7 @@ def write_on_batch_end(
item = {}
sample = self.dataset.get_manifest_sample(sample_id)
item["audio_filepath"] = sample.audio_file
item["offset"] = sample.offset
item["duration"] = sample.duration
item["text"] = sample.text_raw
item["pred_text"] = transcribed_text
Expand Down