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RVC-Boss 2024-01-23 18:43:15 +08:00 committed by GitHub
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GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py
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@ -66,8 +66,9 @@ def name2go(wav_name):
print("%s-filtered" % (wav_name, tmp_max)) print("%s-filtered" % (wav_name, tmp_max))
return return
tmp_audio32 = (tmp_audio / tmp_max * (maxx * alpha*32768)) + ((1 - alpha)*32768) * tmp_audio tmp_audio32 = (tmp_audio / tmp_max * (maxx * alpha*32768)) + ((1 - alpha)*32768) * tmp_audio
tmp_audio32b = (tmp_audio / tmp_max * (maxx * alpha*1145.14)) + ((1 - alpha)*1145.14) * tmp_audio
tmp_audio = librosa.resample( tmp_audio = librosa.resample(
tmp_audio32, orig_sr=32000, target_sr=16000 tmp_audio32b, orig_sr=32000, target_sr=16000
)#不是重采样问题 )#不是重采样问题
tensor_wav16 = torch.from_numpy(tmp_audio) tensor_wav16 = torch.from_numpy(tmp_audio)
if (is_half == True): if (is_half == True):