39 lines
1.4 KiB
Python
39 lines
1.4 KiB
Python
#!/usr/bin/env python
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import os
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import argparse
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CLASSES = 'unknown, yes, no, up, down, left, right, on, off, stop, go'.split(
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', ')
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CLASS_TO_IDX = {CLASSES[i]: str(i) for i in range(len(CLASSES))}
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(
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description=
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'prepare kaldi format file for google speech command dataset ')
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parser.add_argument(
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'--wav_list',
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required=True,
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help=
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'wave list is a file containts full path of a wav file in google speech command dataset'
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)
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parser.add_argument('--data_dir',
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required=True,
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help='folder to write kaldi format files')
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args = parser.parse_args()
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data_dir = args.data_dir
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f_wav_scp = open(os.path.join(data_dir, 'wav.scp'), 'w')
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f_text = open(os.path.join(data_dir, 'text'), 'w')
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with open(args.wav_list) as f:
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for line in f.readlines():
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keyword, file_name = line.strip().split('/')[-2:]
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file_name_new = file_name.split('.')[0]
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wav_id = '_'.join([keyword, file_name_new])
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file_dir = line.strip()
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f_wav_scp.writelines(wav_id + ' ' + file_dir + '\n')
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label = CLASS_TO_IDX[
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keyword] if keyword in CLASS_TO_IDX else CLASS_TO_IDX["unknown"]
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f_text.writelines(wav_id + ' ' + str(label) + '\n')
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f_wav_scp.close()
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f_text.close()
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