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@ -66,8 +66,9 @@ def name2go(wav_name):
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print("%s-filtered" % (wav_name, tmp_max))
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return
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tmp_audio32 = (tmp_audio / tmp_max * (maxx * alpha*32768)) + ((1 - alpha)*32768) * tmp_audio
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tmp_audio32b = (tmp_audio / tmp_max * (maxx * alpha*1145.14)) + ((1 - alpha)*1145.14) * tmp_audio
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tmp_audio = librosa.resample(
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tmp_audio32, orig_sr=32000, target_sr=16000
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tmp_audio32b, orig_sr=32000, target_sr=16000
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)#不是重采样问题
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tensor_wav16 = torch.from_numpy(tmp_audio)
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if (is_half == True):
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