scale value fix (#1006)
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@@ -80,7 +80,7 @@ def get_features(test_wav_filename):
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samples = librosa.resample(samples, orig_sr=sample_rate, target_sr=16000)
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samples = librosa.resample(samples, orig_sr=sample_rate, target_sr=16000)
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sample_rate = 16000
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sample_rate = 16000
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samples *= 372768
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samples *= 32768
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opts = knf.MfccOptions()
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opts = knf.MfccOptions()
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# See https://github.com/Tele-AI/TeleSpeech-ASR/blob/master/mfcc_hires.conf
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# See https://github.com/Tele-AI/TeleSpeech-ASR/blob/master/mfcc_hires.conf
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@@ -112,7 +112,7 @@ def get_features(test_wav_filename):
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audio = torchaudio.functional.resample(
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audio = torchaudio.functional.resample(
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audio, orig_freq=sample_rate, new_freq=16000
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audio, orig_freq=sample_rate, new_freq=16000
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)
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)
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audio *= 372768
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audio *= 32768
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opts = knf.FbankOptions()
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opts = knf.FbankOptions()
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opts.frame_opts.dither = 0
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opts.frame_opts.dither = 0
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@@ -52,7 +52,7 @@ def get_features(test_wav_filename):
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audio = torchaudio.functional.resample(
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audio = torchaudio.functional.resample(
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audio, orig_freq=sample_rate, new_freq=16000
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audio, orig_freq=sample_rate, new_freq=16000
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)
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)
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audio *= 372768
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audio *= 32768
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opts = knf.FbankOptions()
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opts = knf.FbankOptions()
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opts.frame_opts.dither = 0
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opts.frame_opts.dither = 0
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