适配更高版本的 librosa
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@@ -61,19 +61,19 @@ class AudioPre:
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_,
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) = librosa.core.load( # 理论上librosa读取可能对某些音频有bug,应该上ffmpeg读取,但是太麻烦了弃坑
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music_file,
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bp["sr"],
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False,
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dtype=np.float32,
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res_type=bp["res_type"],
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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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if X_wave[d].ndim == 1:
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X_wave[d] = np.asfortranarray([X_wave[d], X_wave[d]])
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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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res_type=bp["res_type"],
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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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X_spec_s[d] = spec_utils.wave_to_spectrogram_mt(
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@@ -245,19 +245,19 @@ class AudioPreDeEcho:
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_,
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) = librosa.core.load( # 理论上librosa读取可能对某些音频有bug,应该上ffmpeg读取,但是太麻烦了弃坑
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music_file,
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bp["sr"],
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False,
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dtype=np.float32,
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res_type=bp["res_type"],
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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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if X_wave[d].ndim == 1:
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X_wave[d] = np.asfortranarray([X_wave[d], X_wave[d]])
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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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res_type=bp["res_type"],
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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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X_spec_s[d] = spec_utils.wave_to_spectrogram_mt(
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