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[Examples] Generalise run audio classification for log-mel models #21756

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Merged
sanchit-gandhi merged 3 commits into from
Feb 24, 2023
Merged

[Examples] Generalise run audio classification for log-mel models #21756

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[Examples] Generalise run audio classification for log-mel models
Feb 23, 2023
12c0796
batch feature extractor
Feb 23, 2023
d947f07
make style
Feb 23, 2023
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15 changes: 9 additions & 6 deletions examples/pytorch/audio-classification/run_audio_classification.py
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Original file line number Diff line number Diff line change
Expand Up @@ -289,24 +289,27 @@ def main():
data_args.audio_column_name, datasets.features.Audio(sampling_rate=feature_extractor.sampling_rate)
)

model_input_name = feature_extractor.model_input_names[0]

def train_transforms(batch):
"""Apply train_transforms across a batch."""
output_batch = {"input_values": []}
subsampled_wavs = []
for audio in batch[data_args.audio_column_name]:
wav = random_subsample(
audio["array"], max_length=data_args.max_length_seconds, sample_rate=feature_extractor.sampling_rate
)
output_batch["input_values"].append(wav)
subsampled_wavs.append(wav)
inputs = feature_extractor(subsampled_wavs, sampling_rate=feature_extractor.sampling_rate)
output_batch = {model_input_name: inputs.get(model_input_name)}
Comment on lines +301 to +303
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@ArthurZucker ArthurZucker Feb 23, 2023

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nice

output_batch["labels"] = list(batch[data_args.label_column_name])

return output_batch

def val_transforms(batch):
"""Apply val_transforms across a batch."""
output_batch = {"input_values": []}
for audio in batch[data_args.audio_column_name]:
wav = audio["array"]
output_batch["input_values"].append(wav)
wavs = [audio["array"] for audio in batch[data_args.audio_column_name]]
inputs = feature_extractor(wavs, sampling_rate=feature_extractor.sampling_rate)
output_batch = {model_input_name: inputs.get(model_input_name)}
output_batch["labels"] = list(batch[data_args.label_column_name])

return output_batch
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