forked from mrq/ai-voice-cloning
when the sanitizer thingy works in testing but it doesn't outside of testing, and you have to retranscribe for the fourth time today
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@ -1294,6 +1294,7 @@ def transcribe_dataset( voice, language=None, skip_existings=False, progress=Non
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continue
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continue
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results[basename] = result
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results[basename] = result
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"""
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try:
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try:
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sanitized = whisper_sanitize(results[basename])
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sanitized = whisper_sanitize(results[basename])
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if len(sanitized['segments']) > 0 and len(sanitized['segments']) != len(results[basename]['segments']):
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if len(sanitized['segments']) > 0 and len(sanitized['segments']) != len(results[basename]['segments']):
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@ -1303,6 +1304,7 @@ def transcribe_dataset( voice, language=None, skip_existings=False, progress=Non
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except Exception as e:
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except Exception as e:
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print("Failed to sanitize:", basename, e)
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print("Failed to sanitize:", basename, e)
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pass
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pass
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"""
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waveform, sample_rate = torchaudio.load(file)
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waveform, sample_rate = torchaudio.load(file)
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# resample to the input rate, since it'll get resampled for training anyways
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# resample to the input rate, since it'll get resampled for training anyways
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