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[GH-ISSUE #1567] Voice separation not working #1039
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Originally created by @Bennou22 on GitHub (Nov 20, 2023).
Original GitHub issue: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/1567
Hi, when i'm using the "Voice separation" it's writing this is the information
" FACECAM Stream Speedrun SMO Any le retour 2nr8i56jb.mp4.reformatted.wav->Traceback (most recent call last):
File "F:\RVC1006Nvidia\runtime\lib\site-packages\librosa\core\audio.py", line 155, in load
context = sf.SoundFile(path)
File "F:\RVC1006Nvidia\runtime\lib\site-packages\soundfile.py", line 655, in init
self._file = self._open(file, mode_int, closefd)
File "F:\RVC1006Nvidia\runtime\lib\site-packages\soundfile.py", line 1213, in _open
raise LibsndfileError(err, prefix="Error opening {0!r}: ".format(self.name))
soundfile.LibsndfileError: Error opening 'F:\RVC1006Nvidia\TEMP/FACECAM Stream Speedrun SMO Any le retour 2nr8i56jb.mp4.reformatted.wav': System error.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "F:\RVC1006Nvidia\infer\modules\uvr5\modules.py", line 74, in uvr
pre_fun.path_audio(
File "F:\RVC1006Nvidia\infer\modules\uvr5\vr.py", line 63, in path_audio
) = 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
File "F:\RVC1006Nvidia\runtime\lib\site-packages\librosa\util\decorators.py", line 104, in inner_f
return f(**kwargs)
File "F:\RVC1006Nvidia\runtime\lib\site-packages\librosa\core\audio.py", line 174, in load
y, sr_native = __audioread_load(path, offset, duration, dtype)
File "F:\RVC1006Nvidia\runtime\lib\site-packages\librosa\core\audio.py", line 198, in _audioread_load
with audioread.audio_open(path) as input_file:
File "F:\RVC1006Nvidia\runtime\lib\site-packages\audioread_init.py", line 111, in audio_open
return BackendClass(path)
File "F:\RVC1006Nvidia\runtime\lib\site-packages\audioread\rawread.py", line 62, in init
self._fh = open(filename, 'rb')
FileNotFoundError: [Errno 2] No such file or directory: 'F:\RVC1006Nvidia\TEMP/FACECAM Stream Speedrun SMO Any le retour 2nr8i56jb.mp4.reformatted.wav'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "F:\RVC1006Nvidia\runtime\lib\site-packages\librosa\core\audio.py", line 155, in load
context = sf.SoundFile(path)
File "F:\RVC1006Nvidia\runtime\lib\site-packages\soundfile.py", line 655, in init
self._file = self._open(file, mode_int, closefd)
File "F:\RVC1006Nvidia\runtime\lib\site-packages\soundfile.py", line 1213, in _open
raise LibsndfileError(err, prefix="Error opening {0!r}: ".format(self.name))
soundfile.LibsndfileError: Error opening 'F:\RVC1006Nvidia\TEMP/FACECAM Stream Speedrun SMO Any le retour 2nr8i56jb.mp4.reformatted.wav': System error.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "F:\RVC1006Nvidia\infer\modules\uvr5\modules.py", line 82, in uvr
pre_fun.path_audio(
File "F:\RVC1006Nvidia\infer\modules\uvr5\vr.py", line 63, in path_audio
) = 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
File "F:\RVC1006Nvidia\runtime\lib\site-packages\librosa\util\decorators.py", line 104, in inner_f
return f(**kwargs)
File "F:\RVC1006Nvidia\runtime\lib\site-packages\librosa\core\audio.py", line 174, in load
y, sr_native = __audioread_load(path, offset, duration, dtype)
File "F:\RVC1006Nvidia\runtime\lib\site-packages\librosa\core\audio.py", line 198, in _audioread_load
with audioread.audio_open(path) as input_file:
File "F:\RVC1006Nvidia\runtime\lib\site-packages\audioread_init.py", line 111, in audio_open
return BackendClass(path)
File "F:\RVC1006Nvidia\runtime\lib\site-packages\audioread\rawread.py", line 62, in init
self._fh = open(filename, 'rb')
FileNotFoundError: [Errno 2] No such file or directory: 'F:\RVC1006Nvidia\TEMP/FACECAM Stream Speedrun SMO Any le retour 2nr8i56jb.mp4.reformatted.wav' "
What can i do for working (i'm on RVC1006Nvidia web-UI)
@Bennou22 commented on GitHub (Nov 21, 2023):
I only change to the NVIDIA version (cause i'm on NVIDIA) and it work