mirror of
https://github.com/mozilla/DeepSpeech.git
synced 2025-10-26 11:19:39 +00:00
54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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from __future__ import absolute_import, division, print_function
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import argparse
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import numpy as np
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import wave
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from deepspeech import Model
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def main():
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parser = argparse.ArgumentParser(description='Running DeepSpeech inference.')
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parser.add_argument('--model', required=True,
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help='Path to the model (protocol buffer binary file)')
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parser.add_argument('--scorer', nargs='?',
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help='Path to the external scorer file')
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parser.add_argument('--audio1', required=True,
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help='First audio file to use in interleaved streams')
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parser.add_argument('--audio2', required=True,
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help='Second audio file to use in interleaved streams')
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args = parser.parse_args()
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ds = Model(args.model)
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if args.scorer:
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ds.enableExternalScorer(args.scorer)
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fin = wave.open(args.audio1, 'rb')
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fs1 = fin.getframerate()
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audio1 = np.frombuffer(fin.readframes(fin.getnframes()), np.int16)
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fin.close()
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fin = wave.open(args.audio2, 'rb')
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fs2 = fin.getframerate()
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audio2 = np.frombuffer(fin.readframes(fin.getnframes()), np.int16)
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fin.close()
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stream1 = ds.createStream()
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stream2 = ds.createStream()
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splits1 = np.array_split(audio1, 10)
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splits2 = np.array_split(audio2, 10)
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for part1, part2 in zip(splits1, splits2):
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stream1.feedAudioContent(part1)
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stream2.feedAudioContent(part2)
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print(stream1.finishStream())
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print(stream2.finishStream())
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if __name__ == '__main__':
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main()
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