anjok07 / ultimatevocalremovergui Goto Github PK

Got this just now while running pip install --no-cache-dir -r requirements.txt. Updated pip and installed Python 3.7 (I had 3.9)
It doesn't feel like there's a clear way of resolving this in the error description, any ideas on how I could fix this?

File "VocalRemover.py", line 64
def open_image(path: str, size: tuple = None, keep_aspect: bool = True, rotate: int = 0) -> ImageTk.PhotoImage:
^
SyntaxError: invalid syntax

I can't select the main model on the "Choose Main Model" field. It doesn't open any options that I can click.
I get this error on the command line:

Exception in Tkinter callback
Traceback (most recent call last):
File "/opt/anaconda3/lib/python3.7/tkinter/init.py", line 1705, in call
return self.func(*args)
File "VocalRemover.py", line 620, in open_newModel_filedialog
os.startfile(models)
AttributeError: module 'os' has no attribute 'startfile'

Describe the bug

I have a Geforce GT 730 graphics card that uses CUDA version 3.5, but pyTorch does not support this version of CUDA. Is there some way to build pyTorch with this option supported?

To Reproduce
Steps to reproduce the behavior:

1. GPU Acceleration

Expected behavior

I would like to run hardware acceleration on my graphics card, as without it the conversion process takes 3 to 6 hours.

Screenshots

Desktop (please complete the following information):

• OS: Windows 7 Ultimate
• Browser Chrome
• Version 87.0.4280.88
• Python version: 3.8.7

Change folder name in both v2 and v4 from 'Instrumental Models' to 'Main Models', until the vocal models get trained up enough.

Originally posted by @Anjok07 in #19 (comment)

Describe the bug
Why does It takes aprox 20 min to convert a single flac file

To Reproduce
Steps to reproduce the behavior:

1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error

Expected behavior
A clear and concise description of what you expected to happen.

Screenshots
If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

• OS: [e.g. iOS]
• Browser [e.g. chrome, safari]
• Version [e.g. 22]

Smartphone (please complete the following information):

• Device: [e.g. iPhone6]
• OS: [e.g. iOS8.1]
• Browser [e.g. stock browser, safari]
• Version [e.g. 22]

Additional context
Add any other context about the problem here.

I did all that was meant to be done in order to open the file, but when I click at Vocalremover.py it only opens a blank CMD. I am new to it all.

C:\UVR-V4GUI>python VocalRemover.py
Microsoft Visual C++ Redistributable is not installed, this may lead to the DLL load failure.
It can be downloaded at https://aka.ms/vs/16/release/vc_redist.x64.exe
Traceback (most recent call last):
File "VocalRemover.py", line 24, in
import inference_v2
File "C:\UVR-V4GUI\inference_v2.py", line 10, in
from lib_v2 import dataset
File "C:\UVR-V4GUI\lib_v2\dataset.py", line 4, in
import torch
File "C:\Users\name\AppData\Local\Programs\Python\Python37\lib\site-packages\torch_init_.py", line 127, in
raise err
OSError: [WinError 126] Nie można odnaleźć określonego modułu. Error loading "C:\Users\name\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\lib\asmjit.dll" or one of its dependencies.

It appears that the version's git specified in the installation doesn't exist anymore, what should I do?

Describe the bug
Program crashes when saving audio files. This is happening with multiple songs and always fails after at the 2nd file.

To Reproduce
Steps to reproduce the behavior:

• Cmd (Admin): python VolcalRemover.py

Config:

• MGM_MAIN_v4_sr44100_hl512_nf2048.pth
• StackedMGM_MM_v4_sr44100_hl512_nf2048.pth
• Stack Passes: 3
• Save All Stacked Outputs
• Model Test Mode

Expected behavior
Audio tracks are saved.

Screenshots

Desktop (please complete the following information):

• OS: Windows 10 VM - Build 19041.vb_release.191206-1406

Additional context

C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\librosa\core\audio.py:161: UserWarning: PySoundFile failed. Trying audioread instead.
  warnings.warn('PySoundFile failed. Trying audioread instead.')
100%|████████████████████████████████████████████████████████████████████████████████| 118/118 [07:08<00:00,  3.63s/it]
100%|████████████████████████████████████████████████████████████████████████████████| 172/172 [10:38<00:00,  3.71s/it]
  File "C:\Users\User\Desktop\UVR-V4GUI\inference_v4.py", line 486, in main
    save_files(wav_instrument, wav_vocals)
  File "C:\Users\User\Desktop\UVR-V4GUI\inference_v4.py", line 354, in save_files
    wav_instrument.T, sr)
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 315, in write
    subtype, endian, format, closefd) as f:
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 629, in __init__
    self._file = self._open(file, mode_int, closefd)
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 1184, in _open
    "Error opening {0!r}: ".format(self.name))
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 1357, in _error_check
    raise RuntimeError(prefix + _ffi.string(err_str).decode('utf-8', 'replace'))

RuntimeError Error opening 'C:/Users/User/Desktop/Karaoke/Vocal Removal/MGM_HIGHEND_v4_sr44100_hl1024_nf2048-StackedMGM_LL_v4_sr32000_hl512_nf2048\\1_O.A.R. - Night Shift Stacked Outputs/1_O.A.R. - Night Shift_(Instrumental_1_Stacked_Output)_MGM_HIGHEND_v4_sr44100_hl1024_nf2048-StackedMGM_LL_v4_sr32000_hl512_nf2048.wav': System error.
Traceback Error: "  File "C:\Users\User\Desktop\UVR-V4GUI\inference_v4.py", line 486, in main
    save_files(wav_instrument, wav_vocals)
  File "C:\Users\User\Desktop\UVR-V4GUI\inference_v4.py", line 354, in save_files
    wav_instrument.T, sr)
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 315, in write
    subtype, endian, format, closefd) as f:
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 629, in __init__
    self._file = self._open(file, mode_int, closefd)
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 1184, in _open
    "Error opening {0!r}: ".format(self.name))
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 1357, in _error_check
    raise RuntimeError(prefix + _ffi.string(err_str).decode('utf-8', 'replace'))
"
RuntimeError: "Error opening 'C:/Users/User/Desktop/Karaoke/Vocal Removal/MGM_HIGHEND_v4_sr44100_hl1024_nf2048-StackedMGM_LL_v4_sr32000_hl512_nf2048\\1_O.A.R. - Night Shift Stacked Outputs/1_O.A.R. - Night Shift_(Instrumental_1_Stacked_Output)_MGM_HIGHEND_v4_sr44100_hl1024_nf2048-StackedMGM_LL_v4_sr32000_hl512_nf2048.wav': System error."
File: temp.wav
Loop: 1
Please contact the creator and attach a screenshot of this error with the file and settings that caused it!

Tried to open vocalremover.py, cmd gave "No module named 'PIL'" error message.

D:\UVR_V4GUI_All_IN_ONE_12_10\UVR-V4GUI>python VocalRemover.py
Traceback (most recent call last):
File "D:\UVR_V4GUI_All_IN_ONE_12_10\UVR-V4GUI\VocalRemover.py", line 10, in
from PIL import Image
ModuleNotFoundError: No module named 'PIL'

I'm using Windows 10, went to the trouble of figuring out how to download pip, install the packages linked in the setup section, etc. etc., eventually finding out that I needed Python 64 anyway :/
I have no idea what this PIL message means. If it helps, my external drive decided to disconnect itself most of the way through installing the 2nd line of pasted code. After I turned it off and on again, and typed the individual "install" commands (they had thankfully finished building), the only one that ended up going through any extra progress bars was Torch, and that was to install "type-face setting" or something like that and another thing which had Torch in the name.
I kind of doubt this has anything to do with the "PIL" module, but there it is.

It's also worth noting that I had to use cmd to get even this far. Trying to open from Explorer didn't work even when I opened with Python 64-Bit.

I think that the options that let you insert numbers have their "boxes" too close to the check options and this might confuse at first.
A solution is to move those boxes to the right of the options but by doing this the options texts are too close the the other check options so I suggest to

• Enclose the check options and the number options in separate rectangles
• Move the number options more to the right

I tried it by replacing baseline.pth to multigenre.pth (I renamed it to baseline.pth)
whenever I start loading model, this error comes

loading model... Traceback (most recent call last):
File "inference.py", line 119, in
main()
File "inference.py", line 65, in main
model.load_state_dict(torch.load(args.pretrained_model, map_location=device))
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 1045, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for CascadedASPPNet:
Missing key(s) in state_dict: "stg1_low_band_net.enc1.conv1.conv.0.weight", "stg1_low_band_net.enc1.conv1.conv.1.weight", "stg1_low_band_net.enc1.conv1.conv.1.bias", "stg1_low_band_net.enc1.conv1.conv.1.running_mean", "stg1_low_band_net.enc1.conv1.conv.1.running_var", "stg1_low_band_net.enc1.conv2.conv.0.weight", "stg1_low_band_net.enc1.conv2.conv.1.weight", "stg1_low_band_net.enc1.conv2.conv.1.bias", "stg1_low_band_net.enc1.conv2.conv.1.running_mean", "stg1_low_band_net.enc1.conv2.conv.1.running_var", "stg1_low_band_net.enc2.conv1.conv.0.weight", "stg1_low_band_net.enc2.conv1.conv.1.weight", "stg1_low_band_net.enc2.conv1.conv.1.bias", "stg1_low_band_net.enc2.conv1.conv.1.running_mean", "stg1_low_band_net.enc2.conv1.conv.1.running_var", "stg1_low_band_net.enc2.conv2.conv.0.weight", "stg1_low_band_net.enc2.conv2.conv.1.weight", "stg1_low_band_net.enc2.conv2.conv.1.bias", "stg1_low_band_net.enc2.conv2.conv.1.running_mean", "stg1_low_band_net.enc2.conv2.conv.1.running_var", "stg1_low_band_net.enc3.conv1.conv.0.weight", "stg1_low_band_net.enc3.conv1.conv.1.weight", "stg1_low_band_net.enc3.conv1.conv.1.bias", "stg1_low_band_net.enc3.conv1.conv.1.running_mean", "stg1_low_band_net.enc3.conv1.conv.1.running_var", "stg1_low_band_net.enc3.conv2.conv.0.weight", "stg1_low_band_net.enc3.conv2.conv.1.weight", "stg1_low_band_net.enc3.conv2.conv.1.bias", "stg1_low_band_net.enc3.conv2.conv.1.running_mean", "stg1_low_band_net.enc3.conv2.conv.1.running_var", "stg1_low_band_net.enc4.conv1.conv.0.weight", "stg1_low_band_net.enc4.conv1.conv.1.weight", "stg1_low_band_net.enc4.conv1.conv.1.bias", "stg1_low_band_net.enc4.conv1.conv.1.running_mean", "stg1_low_band_net.enc4.conv1.conv.1.running_var", "stg1_low_band_net.enc4.conv2.conv.0.weight", "stg1_low_band_net.enc4.conv2.conv.1.weight", "stg1_low_band_net.enc4.conv2.conv.1.bias", "stg1_low_band_net.enc4.conv2.conv.1.running_mean", "stg1_low_band_net.enc4.conv2.conv.1.running_var", "stg1_low_band_net.aspp.conv1.1.conv.0.weight", "stg1_low_band_net.aspp.conv1.1.conv.1.weight", "stg1_low_band_net.aspp.conv1.1.conv.1.bias", "stg1_low_band_net.aspp.conv1.1.conv.1.running_mean", "stg1_low_band_net.aspp.conv1.1.conv.1.running_var", "stg1_low_band_net.aspp.conv2.conv.0.weight", "stg1_low_band_net.aspp.conv2.conv.1.weight", "stg1_low_band_net.aspp.conv2.conv.1.bias", "stg1_low_band_net.aspp.conv2.conv.1.running_mean", "stg1_low_band_net.aspp.conv2.conv.1.running_var", "stg1_low_band_net.aspp.conv3.conv.0.weight", "stg1_low_band_net.aspp.conv3.conv.1.weight", "stg1_low_band_net.aspp.conv3.conv.2.weight", "stg1_low_band_net.aspp.conv3.conv.2.bias", "stg1_low_band_net.aspp.conv3.conv.2.running_mean", "stg1_low_band_net.aspp.conv3.conv.2.running_var", "stg1_low_band_net.aspp.conv4.conv.0.weight", "stg1_low_band_net.aspp.conv4.conv.1.weight", "stg1_low_band_net.aspp.conv4.conv.2.weight", "stg1_low_band_net.aspp.conv4.conv.2.bias", 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After I install all the correct itemes,
I open a powershell to the ultimatevocalremovergui-2.2.0-GUI-Mod
Type in

python VocalRemover.py

and I get this

Traceback (most recent call last):
File "VocalRemover.py", line 27, in
os.chdir(base_path) # Change the current working directory to the base path
OSError: [WinError 123] The filename, directory name, or volume label syntax is incorrect: ''

Describe the bug

In some cases, the path is truncated when dragging.

To Reproduce

Steps to reproduce the behavior:

1. I put the program in C:\Soft\ultimatevocalremovergui-master
2. And named the file as my_favourite_game.mp3
3. I drag it to the window.
4. See error

Screenshots

Desktop

• OS: Windows 10
• Python: 3.7.4

Hi everyone. I can't seem to run vocalremover.py. It just doesn't open. This is what I got:

Traceback (most recent call last):
File "VocalRemover.py", line 25, in
import inference_v2
File "C:\Users\thijs\UVR-V4GUI\inference_v2.py", line 5, in
import librosa
File "C:\Users\thijs\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\librosa_init_.py", line 12, in
from . import core
File "C:\Users\thijs\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\librosa\core_init_.py", line 125, in
from .time_frequency import * # pylint: disable=wildcard-import
File "C:\Users\thijs\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\librosa\core\time_frequency.py", line 11, in
from ..util.exceptions import ParameterError
File "C:\Users\thijs\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\librosa\util_init_.py", line 77, in
from .utils import * # pylint: disable=wildcard-import
File "C:\Users\thijs\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\librosa\util\utils.py", line 5, in
import scipy.ndimage
File "C:\Users\thijs\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\scipy_init_.py", line 130, in
from . import distributor_init
File "C:\Users\thijs\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\scipy_distributor_init.py", line 61, in
WinDLL(os.path.abspath(filename))
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.7_3.7.2544.0_x64__qbz5n2kfra8p0\lib\ctypes_init.py", line 364, in init
self._handle = _dlopen(self._name, mode)
OSError: [WinError 126] Kan opgegeven module niet vinden

Thank you in advance!

Anjok07 My opinion is that you create only one model that combines the ability to do any type effectively with improvements and And cleanliness , The work you will do for 3 models , Collect it into one model , in order not to do the same process 3 times

Originally posted by @ManOrMonster in #19 (comment)

Hi, this problem randomly happened to me. So I don't know how to fix it. Maybe it's a bug or something ?

Hello, I spotted this problem in audacity, regardless of used settings results are shorter at the end by 200 to 500 samples.

please train a final version of BVKARAOKE Model if possible

When attempting to open the GUI I receive an error;

C:\Other\Ultimate Vocal Remover>vocalremover.py
 ** On entry to DGEBAL parameter number  3 had an illegal value
 ** On entry to DGEHRD  parameter number  2 had an illegal value
 ** On entry to DORGHR DORGQR parameter number  2 had an illegal value
 ** On entry to DHSEQR parameter number  4 had an illegal value
ImportError: numpy.core.multiarray failed to import
Traceback (most recent call last):
  File "C:\Other\Ultimate Vocal Remover\VocalRemover.py", line 24, in <module>
    import inference_v2
  File "C:\Other\Ultimate Vocal Remover\inference_v2.py", line 4, in <module>
    import cv2
  File "C:\Users\Username\AppData\Local\Programs\Python\Python37\lib\site-packages\cv2\__init__.py", line 5, in <module>
    from .cv2 import *
ImportError: numpy.core.multiarray failed to import

Running Python 3.7.0 and have all the required applications and packages listed in the readme installed.

I tried to install it many times and it just doesn't work for me. Could anyone help me?
Thank you.

It's me Joe again. So this time I have a little request. Can you make a tutorial about how you training your own v4 model please? I can't find any video about the "vocal remove model training" on youtube or other website. Anyway, once again, I love your project.

When installing librosa everything is fine but llvmlite does not want to install
/storage/emulated/0 $ pip install librosa
Collecting librosa
Using cached librosa-0.8.0-py3-none-any.whl
Requirement already satisfied: scikit-learn!=0.19.0,>=0.14.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (0.23.1)
Requirement already satisfied: scipy>=1.0.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.4.1)
Requirement already satisfied: joblib>=0.14 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (0.14.1)
Requirement already satisfied: numpy>=1.15.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.19.3)
Collecting audioread>=2.0.0
Using cached audioread-2.1.9-py3-none-any.whl
Collecting decorator>=3.0.0
Using cached decorator-4.4.2-py2.py3-none-any.whl (9.2 kB)
Collecting numba>=0.43.0
Using cached numba-0.51.2-cp38-cp38-linux_aarch64.whl
Requirement already satisfied: numpy>=1.15.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.19.3)
Requirement already satisfied: setuptools in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from numba>=0.43.0->librosa) (46.4.0)
Collecting llvmlite<0.35,>=0.34.0.dev0
Using cached llvmlite-0.34.0.tar.gz (107 kB)
Collecting pooch>=1.0
Using cached pooch-1.3.0-py3-none-any.whl (51 kB)
Collecting appdirs
Using cached appdirs-1.4.4-py2.py3-none-any.whl (9.6 kB)
Collecting packaging
Using cached packaging-20.7-py2.py3-none-any.whl (35 kB)
Requirement already satisfied: pyparsing>=2.0.2 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from packaging->pooch>=1.0->librosa) (2.4.7)
Collecting requests
Using cached requests-2.25.0-py2.py3-none-any.whl (61 kB)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from requests->pooch>=1.0->librosa) (1.26.2)
Collecting certifi>=2017.4.17
Using cached certifi-2020.11.8-py2.py3-none-any.whl (155 kB)
Collecting chardet<4,>=3.0.2
Using cached chardet-3.0.4-py2.py3-none-any.whl (133 kB)
Collecting idna<3,>=2.5
Using cached idna-2.10-py2.py3-none-any.whl (58 kB)
Collecting resampy>=0.2.2
Using cached resampy-0.2.2-py3-none-any.whl
Requirement already satisfied: scipy>=1.0.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.4.1)
Requirement already satisfied: numpy>=1.15.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.19.3)
Requirement already satisfied: six>=1.3 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from resampy>=0.2.2->librosa) (1.15.0)
Requirement already satisfied: joblib>=0.14 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (0.14.1)
Requirement already satisfied: threadpoolctl>=2.0.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from scikit-learn!=0.19.0,>=0.14.0->librosa) (2.1.0)Requirement already satisfied: scipy>=1.0.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.4.1)
Requirement already satisfied: numpy>=1.15.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.19.3)
Requirement already satisfied: numpy>=1.15.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.19.3)
Collecting soundfile>=0.9.0
Using cached SoundFile-0.10.3.post1-py2.py3-none-any.whl (21 kB)
Collecting cffi>=1.0
Using cached cffi-1.14.4-cp38-cp38-linux_aarch64.whl
Requirement already satisfied: pycparser in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from cffi>=1.0->soundfile>=0.9.0->librosa) (2.20)
Building wheels for collected packages: llvmlite Building wheel for llvmlite (setup.py) ... error
ERROR: Command errored out with exit status 1: command: /data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/bin/python3.8 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/setup.py'"'"'; file='"'"'/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' bdist_wheel -d /data/data/ru.iiec.pydroid3/cache/pip-wheel-28q1s35c
cwd: /data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/
Complete output (26 lines):
running bdist_wheel
/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/bin/python3.8 /data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py
LLVM version... Traceback (most recent call last):
File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 105, in main_posix
out = subprocess.check_output([llvm_config, '--version'])
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 411, in check_output
return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 489, in run
with Popen(*popenargs, **kwargs) as process:
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 856, in init
self._execute_child(args, executable, preexec_fn, close_fds,
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 1728, in _execute_child
raise child_exception_type(errno_num, err_msg, err_filename)
FileNotFoundError: [Errno 2] No such file or directory: 'llvm-config'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 191, in
main()
File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 181, in main
main_posix('linux', '.so')
File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 107, in main_posix
raise RuntimeError("%s failed executing, please point LLVM_CONFIG "
RuntimeError: llvm-config failed executing, please point LLVM_CONFIG to the path for llvm-config
error: command '/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/bin/python3.8' failed with exit status 1

ERROR: Failed building wheel for llvmlite
Running setup.py clean for llvmlite
Failed to build llvmlite
Installing collected packages: llvmlite, idna, chardet, certifi, requests, packaging, numba, cffi, appdirs, soundfile, resampy, pooch, decorator, audioread, librosa
Running setup.py install for llvmlite ... error
ERROR: Command errored out with exit status 1:
command: /data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/bin/python3.8 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/setup.py'"'"'; file='"'"'/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record /data/data/ru.iiec.pydroid3/cache/pip-record-cz61w2b5/install-record.txt --single-version-externally-managed --compile --install-headers /data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/include/python3.8/llvmlite
cwd: /data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/
Complete output (29 lines):
running install
running build
got version from file /data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/llvmlite/version.py {'version': '0.34.0', 'full': 'c5889c9e98c6b19d5d85ebdd982d64a03931f8e2'}
running build_ext
/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/bin/python3.8 /data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py
LLVM version... Traceback (most recent call last):
File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 105, in main_posix
out = subprocess.check_output([llvm_config, '--version'])
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 411, in check_output
return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 489, in run
with Popen(*popenargs, **kwargs) as process:
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 856, in init
self._execute_child(args, executable, preexec_fn, close_fds,
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 1728, in _execute_child
raise child_exception_type(errno_num, err_msg, err_filename)
FileNotFoundError: [Errno 2] No such file or directory: 'llvm-config'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 191, in <module>
    main()
  File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 181, in main
    main_posix('linux', '.so')
  File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 107, in main_posix
    raise RuntimeError("%s failed executing, please point LLVM_CONFIG "
RuntimeError: llvm-config failed executing, please point LLVM_CONFIG to the path for llvm-config
error: command '/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/bin/python3.8' failed with exit status 1
----------------------------------------

ERROR: Command errored out with exit status 1: /data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/bin/python3.8 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/setup.py'"'"'; file='"'"'/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record /data/data/ru.iiec.pydroid3/cache/pip-record-cz61w2b5/install-record.txt --single-version-externally-managed --compile --install-headers /data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/include/python3.8/llvmlite Check the logs for full command output.

Hi. I have followed your instructions by installing what is needed using command line, but when I try to open vocal remover.py, it closes automatically.

There's a bug in version 2.2.0. Like the command version, the last few seconds in the accompaniment are unprocessed. Hope you'll fix it soon. Thank you!

other ones made by people that people trained

Hi could you please provide the dataset that you used to train your model?
Thank you

i want train model command line work on cpu , because When I trained my own model, he said that you need an NVIDIA, NVIDIA graphics card I don't own, I have Intel
(base) C:\Users\DESKTOP\Downloads\vocal-remover-v3.0.0\vocal-remover>python train.py -i dataset/instruments -m dataset/mixtures -M 0.5 -g 0
1 05_too_mix.wav 05_too_inst.wav
Traceback (most recent call last):
File "train.py", line 225, in
main()
File "train.py", line 136, in main
model.cuda()
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\nn\modules\module.py", line 458, in cuda
return self._apply(lambda t: t.cuda(device))
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\nn\modules\module.py", line 354, in _apply
module._apply(fn)
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\nn\modules\module.py", line 354, in _apply
module._apply(fn)
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\nn\modules\module.py", line 354, in _apply
module._apply(fn)
[Previous line repeated 2 more times]
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\nn\modules\module.py", line 376, in _apply
param_applied = fn(param)
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\nn\modules\module.py", line 458, in
return self.apply(lambda t: t.cuda(device))
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\cuda_init.py", line 186, in _lazy_init
check_driver()
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\cuda_init.py", line 68, in _check_driver
http://www.nvidia.com/Download/index.aspx""")
AssertionError:
Found no NVIDIA driver on your system. Please check that you
have an NVIDIA GPU and installed a driver from
http://www.nvidia.com/Download/index.aspx

How can I fix this?

I'm running phyton 3.8.6 on Windows 10:

Thanks.

Exception in thread Thread-5:
Traceback (most recent call last):
File "D:\python37\lib\threading.py", line 917, in _bootstrap_inner
self.run()
File "D:\python37\lib\threading.py", line 865, in run
self._target(*self._args, **self._kwargs)
File "D:\ultimatevocalremovergui-master\inference.py", line 152, in main
model, device = load_model()
File "D:\ultimatevocalremovergui-master\inference.py", line 40, in load_model
model.load_state_dict(torch.load(args.model, map_location=device))
File "D:\python37\lib\site-packages\torch\nn\modules\module.py", line 847, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for CascadedASPPNet:
Missing key(s) in state_dict: "low_band_net.enc1.conv1.conv.0.weight", "low_band_net.enc1.conv1.conv.1.weight", "low_band_net.enc1.conv1.conv.1.bias", "low_band_net.enc1.conv1.conv.1.running_mean", "low_band_net.enc1.conv1.conv.1.running_var", "low_band_net.enc1.conv2.conv.0.weight", "low_band_net.enc1.conv2.conv.1.weight", "low_band_net.enc1.conv2.conv.1.bias", "low_band_net.enc1.conv2.conv.1.running_mean", "low_band_net.enc1.conv2.conv.1.running_var", "low_band_net.enc2.conv1.conv.0.weight", "low_band_net.enc2.conv1.conv.1.weight", "low_band_net.enc2.conv1.conv.1.bias", "low_band_net.enc2.conv1.conv.1.running_mean", "low_band_net.enc2.conv1.conv.1.running_var", "low_band_net.enc2.conv2.conv.0.weight", "low_band_net.enc2.conv2.conv.1.weight", "low_band_net.enc2.conv2.conv.1.bias", "low_band_net.enc2.conv2.conv.1.running_mean", "low_band_net.enc2.conv2.conv.1.running_var", "low_band_net.enc3.conv1.conv.0.weight", "low_band_net.enc3.conv1.conv.1.weight", "low_band_net.enc3.conv1.conv.1.bias", "low_band_net.enc3.conv1.conv.1.running_mean", "low_band_net.enc3.conv1.conv.1.running_var", "low_band_net.enc3.conv2.conv.0.weight", "low_band_net.enc3.conv2.conv.1.weight", "low_band_net.enc3.conv2.conv.1.bias", "low_band_net.enc3.conv2.conv.1.running_mean", "low_band_net.enc3.conv2.conv.1.running_var", "low_band_net.enc4.conv1.conv.0.weight", "low_band_net.enc4.conv1.conv.1.weight", "low_band_net.enc4.conv1.conv.1.bias", "low_band_net.enc4.conv1.conv.1.running_mean", "low_band_net.enc4.conv1.conv.1.running_var", "low_band_net.enc4.conv2.conv.0.weight", "low_band_net.enc4.conv2.conv.1.weight", "low_band_net.enc4.conv2.conv.1.bias", "low_band_net.enc4.conv2.conv.1.running_mean", "low_band_net.enc4.conv2.conv.1.running_var", "low_band_net.aspp.conv1.1.conv.0.weight", "low_band_net.aspp.conv1.1.conv.1.weight", "low_band_net.aspp.conv1.1.conv.1.bias", "low_band_net.aspp.conv1.1.conv.1.running_mean", "low_band_net.aspp.conv1.1.conv.1.running_var", "low_band_net.aspp.conv2.conv.0.weight", "low_band_net.aspp.conv2.conv.1.weight", "low_band_net.aspp.conv2.conv.1.bias", "low_band_net.aspp.conv2.conv.1.running_mean", "low_band_net.aspp.conv2.conv.1.running_var", "low_band_net.aspp.conv3.conv.0.weight", "low_band_net.aspp.conv3.conv.1.weight", "low_band_net.aspp.conv3.conv.2.weight", "low_band_net.aspp.conv3.conv.2.bias", "low_band_net.aspp.conv3.conv.2.running_mean", "low_band_net.aspp.conv3.conv.2.running_var", "low_band_net.aspp.conv4.conv.0.weight", "low_band_net.aspp.conv4.conv.1.weight", "low_band_net.aspp.conv4.conv.2.weight", "low_band_net.aspp.conv4.conv.2.bias", "low_band_net.aspp.conv4.conv.2.running_mean", "low_band_net.aspp.conv4.conv.2.running_var", "low_band_net.aspp.conv5.conv.0.weight", "low_band_net.aspp.conv5.conv.1.weight", "low_band_net.aspp.conv5.conv.2.weight", "low_band_net.aspp.conv5.conv.2.bias", "low_band_net.aspp.conv5.conv.2.running_mean", "low_band_net.aspp.conv5.conv.2.running_var", "low_band_net.aspp.bottleneck.0.conv.0.weight", "low_band_net.aspp.bottleneck.0.conv.1.weight", "low_band_net.aspp.bottleneck.0.conv.1.bias", "low_band_net.aspp.bottleneck.0.conv.1.running_mean", "low_band_net.aspp.bottleneck.0.conv.1.running_var", "low_band_net.dec4.conv.conv.0.weight", "low_band_net.dec4.conv.conv.1.weight", "low_band_net.dec4.conv.conv.1.bias", "low_band_net.dec4.conv.conv.1.running_mean", "low_band_net.dec4.conv.conv.1.running_var", "low_band_net.dec3.conv.conv.0.weight", "low_band_net.dec3.conv.conv.1.weight", "low_band_net.dec3.conv.conv.1.bias", "low_band_net.dec3.conv.conv.1.running_mean", "low_band_net.dec3.conv.conv.1.running_var", "low_band_net.dec2.conv.conv.0.weight", "low_band_net.dec2.conv.conv.1.weight", "low_band_net.dec2.conv.conv.1.bias", "low_band_net.dec2.conv.conv.1.running_mean", "low_band_net.dec2.conv.conv.1.running_var", "low_band_net.dec1.conv.conv.0.weight", "low_band_net.dec1.conv.conv.1.weight", "low_band_net.dec1.conv.conv.1.bias", "low_band_net.dec1.conv.conv.1.running_mean", "low_band_net.dec1.conv.conv.1.running_var", "high_band_net.enc1.conv1.conv.0.weight", "high_band_net.enc1.conv1.conv.1.weight", "high_band_net.enc1.conv1.conv.1.bias", "high_band_net.enc1.conv1.conv.1.running_mean", "high_band_net.enc1.conv1.conv.1.running_var", "high_band_net.enc1.conv2.conv.0.weight", "high_band_net.enc1.conv2.conv.1.weight", "high_band_net.enc1.conv2.conv.1.bias", "high_band_net.enc1.conv2.conv.1.running_mean", "high_band_net.enc1.conv2.conv.1.running_var", "high_band_net.enc2.conv1.conv.0.weight", "high_band_net.enc2.conv1.conv.1.weight", "high_band_net.enc2.conv1.conv.1.bias", "high_band_net.enc2.conv1.conv.1.running_mean", "high_band_net.enc2.conv1.conv.1.running_var", "high_band_net.enc2.conv2.conv.0.weight", "high_band_net.enc2.conv2.conv.1.weight", "high_band_net.enc2.conv2.conv.1.bias", "high_band_net.enc2.conv2.conv.1.running_mean", "high_band_net.enc2.conv2.conv.1.running_var", "high_band_net.enc3.conv1.conv.0.weight", "high_band_net.enc3.conv1.conv.1.weight", "high_band_net.enc3.conv1.conv.1.bias", "high_band_net.enc3.conv1.conv.1.running_mean", "high_band_net.enc3.conv1.conv.1.running_var", "high_band_net.enc3.conv2.conv.0.weight", "high_band_net.enc3.conv2.conv.1.weight", "high_band_net.enc3.conv2.conv.1.bias", "high_band_net.enc3.conv2.conv.1.running_mean", "high_band_net.enc3.conv2.conv.1.running_var", "high_band_net.enc4.conv1.conv.0.weight", "high_band_net.enc4.conv1.conv.1.weight", "high_band_net.enc4.conv1.conv.1.bias", "high_band_net.enc4.conv1.conv.1.running_mean", "high_band_net.enc4.conv1.conv.1.running_var", "high_band_net.enc4.conv2.conv.0.weight", "high_band_net.enc4.conv2.conv.1.weight", "high_band_net.enc4.conv2.conv.1.bias", "high_band_net.enc4.conv2.conv.1.running_mean", "high_band_net.enc4.conv2.conv.1.running_var", "high_band_net.aspp.conv1.1.conv.0.weight", "high_band_net.aspp.conv1.1.conv.1.weight", "high_band_net.aspp.conv1.1.conv.1.bias", "high_band_net.aspp.conv1.1.conv.1.running_mean", "high_band_net.aspp.conv1.1.conv.1.running_var", "high_band_net.aspp.conv2.conv.0.weight", "high_band_net.aspp.conv2.conv.1.weight", "high_band_net.aspp.conv2.conv.1.bias", "high_band_net.aspp.conv2.conv.1.running_mean", "high_band_net.aspp.conv2.conv.1.running_var", "high_band_net.aspp.conv3.conv.0.weight", "high_band_net.aspp.conv3.conv.1.weight", "high_band_net.aspp.conv3.conv.2.weight", "high_band_net.aspp.conv3.conv.2.bias", "high_band_net.aspp.conv3.conv.2.running_mean", "high_band_net.aspp.conv3.conv.2.running_var", "high_band_net.aspp.conv4.conv.0.weight", "high_band_net.aspp.conv4.conv.1.weight", "high_band_net.aspp.conv4.conv.2.weight", "high_band_net.aspp.conv4.conv.2.bias", "high_band_net.aspp.conv4.conv.2.running_mean", "high_band_net.aspp.conv4.conv.2.running_var", "high_band_net.aspp.conv5.conv.0.weight", "high_band_net.aspp.conv5.conv.1.weight", "high_band_net.aspp.conv5.conv.2.weight", "high_band_net.aspp.conv5.conv.2.bias", "high_band_net.aspp.conv5.conv.2.running_mean", "high_band_net.aspp.conv5.conv.2.running_var", "high_band_net.aspp.bottleneck.0.conv.0.weight", "high_band_net.aspp.bottleneck.0.conv.1.weight", "high_band_net.aspp.bottleneck.0.conv.1.bias", "high_band_net.aspp.bottleneck.0.conv.1.running_mean", "high_band_net.aspp.bottleneck.0.conv.1.running_var", "high_band_net.dec4.conv.conv.0.weight", "high_band_net.dec4.conv.conv.1.weight", "high_band_net.dec4.conv.conv.1.bias", "high_band_net.dec4.conv.conv.1.running_mean", "high_band_net.dec4.conv.conv.1.running_var", "high_band_net.dec3.conv.conv.0.weight", "high_band_net.dec3.conv.conv.1.weight", "high_band_net.dec3.conv.conv.1.bias", "high_band_net.dec3.conv.conv.1.running_mean", "high_band_net.dec3.conv.conv.1.running_var", "high_band_net.dec2.conv.conv.0.weight", "high_band_net.dec2.conv.conv.1.weight", "high_band_net.dec2.conv.conv.1.bias", 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The GUI closes itself the moment I open it, so I ran it with CMD. I'm getting this error

https://i.imgur.com/EQ8jbIf.png

I have Python 3.7 added to path and everything from the requirements installed into the GUI folder.

When trying to install the requirements needed in 'requirements.txt' I keep on getting this error and I don't know how to fix it.

Using GPU or CPU, it gets to "inverse stft of instruments and vocals", hangs for about 30 seconds, then closes. This is on v2 and v4. I tried with the latest version of tsurumeso's command line vocal remover and it works fine.

I'm using a GTX 1080ti, 32GB of system RAM, Windows 10. I tried with a clean install of both Python 3.8 and 3.7.

The console output:
100%|██████████████████████████████████████████████████████████████████████████████████| 42/42 [00:03<00:00, 11.34it/s]

Installed packages:

audioread==2.1.9
cffi==1.14.3
dataclasses==0.6
decorator==4.4.2
future==0.18.2
joblib==0.17.0
librosa==0.6.3
llvmlite==0.31.0
numba==0.48.0
numpy==1.19.4
opencv-python==4.4.0.46
Pillow==8.0.1
pycparser==2.20
resampy==0.2.2
scikit-learn==0.23.2
scipy==1.5.4
six==1.15.0
SoundFile==0.10.3.post1
soundstretch==1.2
threadpoolctl==2.1.0
torch==1.7.0+cu110
torchaudio==0.7.0
torchvision==0.8.1+cu110
tqdm==4.30.0
typing-extensions==3.7.4.3

Originally posted by @Zcooger in #34 (comment)

Your new model is great! Compared to stock, this is progress. But I found one problematic song - "Gorillaz - Feel Good Inc.". In the instrumental, the bass disappears completely from 37 to 44 sec. Demo.

I don't know if you used this song in your dataset, but when I did, I got the same weird result. For this reason, I removed it from my dataset and I advise you not to use this track either.

this is the error i get when trying to download:

C:\WINDOWS\system32>pip install torch==1.5.0+cpu torchvision==0.6.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
Looking in links: https://download.pytorch.org/whl/torch_stable.html
ERROR: Could not find a version that satisfies the requirement torch==1.5.0+cpu (from versions: 0.1.2, 0.1.2.post1, 0.1.2.post2)
ERROR: No matching distribution found for torch==1.5.0+cpu

Describe the bug
Invalid syntax in the code

To Reproduce
Steps to reproduce the behavior:

1. Go to folder where the program is located
2. Open terminal
3. Type "python VocalRemover.py"
   Expected behavior
   Starting of the program

Screenshots

Desktop (please complete the following information):

• OS: [Zorin (Ubuntu)]
• Browser [Firefox]
• Version [84.0]

Additional context
Terminal indicates the two points as error

Can you add in this program a feature to separate the woman’s voice from the man’s voice

We have an unofficial discord for audio splitting tools (yes, including Ultimate Vocal Remover GUI). It’s mainly used for Spleeter but this app seems to work better.
Link: https://discord.gg/P7FhQFH

When using models MGM-v5-Vocal_2Band-32000-BETA1 and MGM-v5-Vocal_2Band-32000-BETA2 the outputted WAV file names are swapped, being the instruments labeled as vocals and vice-versa.

Hi, I just want to say that this program works great with 99% of songs, and with almost 98% of quality; way above Spleeter and others. But I have a problem with certain songs by the falsetto queens: Mariah Carey and Ariana Grande (the program doesn't filter very well the whistles parts). I would very much like you to add a model that allows us to do this job better, and thus be able to obtain 99% clean instruments. Otherwise the program is excellent. I would say that it doesn't need any more improvements apart from the one I mentioned. Thanks for reading my suggestion.

As seen by some users.
I noticed it personally after using V4 models with stacking and not.

I suggest adding drag and drop for the entire window or file selection field. It would also be nice to remember the last directory in the browse file window. And add a button to open the folder with the results.

I wonder why I see two progress bars, I think one progress bar is sufficient, knowing that the first progress bar is the same as the second progress bar
Is it possible to modify the program to show one progress bar in stead of two progress bars to reduce the time

Originally posted by @eugene0396 in #6 (comment)

after i click to start the conversion, the program freezes, and it stays like this forever.