Add NoisePerturbAugmentor and CHiME3 data preparation. #140
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Contributor
xinghai-sun
commented
Jun 29, 2017
•
xinghai-sun
commented
- Add NoisePerturbAugmentor and ImpulseResponseAugmentor.
- CHiME3 data preparation.
pkuyym
reviewed
Aug 1, 2017
deep_speech_2/train.py
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| default='[{"type": "shift", ' | ||
| '"params": {"min_shift_ms": -5, "max_shift_ms": 5},' | ||
| '"prob": 1.0}]', | ||
| default=open('augmentation.config', 'r').read(), |
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better to mv augmentation.config to a unified directory like conf
deep_speech_2/augmentation.config
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| @@ -0,0 +1,34 @@ | |||
| [ | |||
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We can create a directory to hold configuration files.
| :type impulse_manifest: basestring | ||
| """ | ||
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| def __init__(self, rng, impulse_manifest): |
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impulse_manifest_path is better
| :type noise_manifest: basestring | ||
| """ | ||
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| def __init__(self, rng, min_snr_dB, max_snr_dB, noise_manifest): |
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noise_manifest_path is better
deep_speech_2/data_utils/data.py
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| @@ -202,6 +202,7 @@ def _process_utterance(self, filename, transcript): | |||
| """Load, augment, featurize and normalize for speech data.""" | |||
| speech_segment = SpeechSegment.from_file(filename, transcript) | |||
| self._augmentation_pipeline.transform_audio(speech_segment) | |||
| speech_segment.to_wav_file("audio.test.wav") | |||
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Maybe we can save audio.test.wav to a temp directory
| print("Skip downloading and unpacking. Data already exists in %s." % | ||
| target_dir) | ||
| # create manifest json file | ||
| create_manifest(target_dir, manifest_path) |
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maybe we should do some checking here to make sure existence of audio files and transcription text files
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不需要，第一，noise文件不存在transcription；第二，这里的逻辑是是遍历所有的音频文件（不存在就不会被遍历到）。
pkuyym
approved these changes
Aug 8, 2017
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