support librosa 0.10
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@@ -5,6 +5,7 @@ import librosa
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import numpy as np
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import soundfile as sf
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import torch
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from rvc.lib.uvr5_pack.lib_v5 import nets_61968KB as Nets
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from rvc.lib.uvr5_pack.lib_v5 import spec_utils
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from rvc.lib.uvr5_pack.lib_v5.model_param_init import ModelParameters
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@@ -62,8 +63,8 @@ class AudioPre:
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_,
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) = librosa.core.load(
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music_file,
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bp["sr"],
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False,
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sr=bp["sr"],
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mono=False,
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dtype=np.float32,
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res_type=bp["res_type"],
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)
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@@ -72,8 +73,8 @@ class AudioPre:
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else: # lower bands
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X_wave[d] = librosa.core.resample(
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X_wave[d + 1],
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self.mp.param["band"][d + 1]["sr"],
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bp["sr"],
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orig_sr=self.mp.param["band"][d + 1]["sr"],
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target_sr=bp["sr"],
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res_type=bp["res_type"],
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)
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# Stft of wave source
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