Misc
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6f48674647
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@ -136,12 +136,12 @@ class UnsupervisedAudioDataset(torch.utils.data.Dataset):
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if __name__ == '__main__':
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if __name__ == '__main__':
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params = {
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params = {
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'mode': 'unsupervised_audio',
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'mode': 'unsupervised_audio',
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'path': ['Z:\\split\\cleaned\\books0'],
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'path': ['Z:\\split\\cleaned\\books0', 'Z:\\split\\cleaned\\books2'],
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'cache_path': 'E:\\audio\\remote-cache.pth',
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'cache_path': 'E:\\audio\\remote-cache.pth',
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'sampling_rate': 22050,
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'sampling_rate': 22050,
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'pad_to_seconds': 5,
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'pad_to_seconds': 5,
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'phase': 'train',
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'phase': 'train',
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'n_workers': 0,
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'n_workers': 4,
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'batch_size': 16,
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'batch_size': 16,
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'extra_samples': 4,
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'extra_samples': 4,
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}
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}
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@ -19,7 +19,7 @@ def main():
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maximum_duration = 20
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maximum_duration = 20
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files = find_audio_files(args.path, include_nonwav=True)
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files = find_audio_files(args.path, include_nonwav=True)
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for e, wav_file in enumerate(tqdm(files)):
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for e, wav_file in enumerate(tqdm(files)):
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#if e < 1326:
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#if e < 1459:
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# continue
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# continue
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print(f"Processing {wav_file}..")
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print(f"Processing {wav_file}..")
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outdir = os.path.join(args.out, f'{e}_{os.path.basename(wav_file[:-4])}').replace('.', '').strip()
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outdir = os.path.join(args.out, f'{e}_{os.path.basename(wav_file[:-4])}').replace('.', '').strip()
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