forked from mrq/ai-voice-cloning
oops
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@ -485,11 +485,8 @@ def prepare_dataset( files, outdir ):
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transcription = []
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transcription = []
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for segment in result['segments']:
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for segment in result['segments']:
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start = int(segment['start'] * sampling_rate)-1
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start = int(segment['start'] * sampling_rate)
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end = int(segment['end'] * sampling_rate)+1
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end = int(segment['end'] * sampling_rate)
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print(segment['start'], segment['end'])
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print(start, end)
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sliced_waveform = waveform[:, start:end]
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sliced_waveform = waveform[:, start:end]
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sliced_name = f"{pad(idx, 4)}.wav"
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sliced_name = f"{pad(idx, 4)}.wav"
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