What's new
LiteRECORDS

Register a free account today to become a member! Once signed in, you'll be able to participate on this site by adding your own topics and posts, as well as connect with other members through your own private inbox!

  • Guest, before your account can be reviewed you must click the activation link sent to your email account. Please ensure you check your junk folders.
    If you do not see the link after 24 hours please open a support ticket.

Powerful New Vocal Remover AI - Instructions

PS C:\Users\Robert\Documents\vocal-remover-2.1.0> python inference.py --absolute.mp3 --gpu 0
C:\Users\Robert\AppData\Local\Programs\Python\Python37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
Import requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
from numba.decorators import jit as optional_jit
C:\Users\Robert\AppData\Local\Programs\Python\Python37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
Import of 'jit' requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
from numba.decorators import jit as optional_jit
usage: inference.py [-h] [--gpu GPU] [--model MODEL] --input INPUT [--sr SR]
[--hop_length HOP_LENGTH] [--window_size WINDOW_SIZE]
[--out_mask] [--postprocess]
inference.py: error: the following arguments are required: --input/-i
PS C:\Users\Robert\Documents\vocal-remover-2.1.0

tried it just thru cpu every way
tried every cmd every way as gpu
unless im missing something lol

tried installing numba
PS C:\> pip install numba Requirement already satisfied: numba in c:\users\robert\appdata\local\programs\python\python37\lib\site-packages (0.49.0)
Requirement already satisfied: numpy>=1.15 in c:\users\robert\appdata\local\programs\python\python37\lib\site-packages (from numba) (1.18.3)
Requirement already satisfied: llvmlite<=0.33.0.dev0,>=0.31.0.dev0 in c:\users\robert\appdata\local\programs\python\python37\lib\site-packages (from numba) (0.32.0)
Requirement already satisfied: setuptools in c:\users\robert\appdata\local\programs\python\python37\lib\site-packages (from numba) (41.2.0)

You're so close! Looks like you actually got it all working, I just see one problem with your command

You're using this -

python inference.py --absolute.mp3 --gpu 0

When it should be this -

python inference.py --input absolute.mp3 --gpu 0
 
still the same my friend hopefully it can get figured out.....i am very interested in the results


PS C:\Users\Robert\Documents\vocal-remover-2.1.0> python inference.py --input absolute.mp3 --gpu 0
C:\Users\Robert\AppData\Local\Programs\Python\Python37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
Import requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
from numba.decorators import jit as optional_jit
C:\Users\Robert\AppData\Local\Programs\Python\Python37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
Import of 'jit' requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
from numba.decorators import jit as optional_jit
loading model... Traceback (most recent call last):
File "inference.py", line 92, in <module>
main()
File "inference.py", line 31, in main
model.load_state_dict(torch.load(args.model, map_location=device))
File "C:\Users\Robert\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\serialization.py", line 419, in load
f = open(f, 'rb')
FileNotFoundError: [Errno 2] No such file or directory: 'models/baseline.pth'
 
still the same my friend hopefully it can get figured out.....i am very interested in the results


PS C:\Users\Robert\Documents\vocal-remover-2.1.0> python inference.py --input absolute.mp3 --gpu 0
C:\Users\Robert\AppData\Local\Programs\Python\Python37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
Import requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
from numba.decorators import jit as optional_jit
C:\Users\Robert\AppData\Local\Programs\Python\Python37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
Import of 'jit' requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
from numba.decorators import jit as optional_jit
loading model... Traceback (most recent call last):
File "inference.py", line 92, in <module>
main()
File "inference.py", line 31, in main
model.load_state_dict(torch.load(args.model, map_location=device))
File "C:\Users\Robert\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\serialization.py", line 419, in load
f = open(f, 'rb')
FileNotFoundError: [Errno 2] No such file or directory: 'models/baseline.pth'

Seems the model is missing from the "models" folder? There should be a file in the "models" directory called "baseline.pth", that's the model.

Download this folder and do your conversions using the AI I tailored here, if it's missing - https://www.mediafire.com/file/3slcbd10wfkp3aj/vocal-remover.rar/file
 
Anjok: Wouldn't it feasibly be possible to create training models using something like a studio acapella layered over an official instrumental to a completely different song, or a vinyl rip of acapella/inst combined, even though those wouldn't sound good to be heard? The AI would still "learn" from those, wouldn't they?
 
well got it going once i installed baseline.pth
the link for mediafire didn't work
taking about 15-30 mins depending on song length
still get an error but dunno what difference it would make

PS C:\Users\Robert\Documents\vocal-remover-2.1.0> python inference.py --input absolute.mp3 --gpu 0
C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
Import requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
from numba.decorators import jit as optional_jit
C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
Import of 'jit' requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
from numba.decorators import jit as optional_jit

but as i said it works
 
well got it going once i installed baseline.pth
the link for mediafire didn't work
taking about 15-30 mins depending on song length
still get an error but dunno what difference it would make

PS C:\Users\Robert\Documents\vocal-remover-2.1.0> python inference.py --input absolute.mp3 --gpu 0
C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
Import requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
from numba.decorators import jit as optional_jit
C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
Import of 'jit' requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
from numba.decorators import jit as optional_jit

but as i said it works

Sorry about the link! That's because I updated the main thread and package. Here's the new link - https://www.mediafire.com/file/97r5sh4u00bmyl9/vocal-remover.rar/file

If you have a Nvidia GPU and install the compatible Cuda drivers, the conversions will be 100x faster.
 
To give everyone an update - I'm training a few new models for this AI and will be sharing them as they complete (I'm training using my GPU). According to the GitHub page, the baseline model was trained on 150 pairs of anime songs. The model I'm currently training is on 305 pairs consisting of multiple genres for generalization, so it should be better than the baseline model already provided and it should also be fine-tunable.
 
Last edited:
How has your experience been with this?

Couldn't even figure out how to get the code to run, unfortunately. I think for most people looking to try this out, some sort of standard executable with a simple GUI is going to be needed, because for the layperson running code is going to be far too difficult.
 
pretty much just a copy and paste scenario........no need to type all that code


Open Python ----- check Add Python to path and install
Unzip Vocal Remover to Documents


Note: By this point, Python should be installed, the vocal-remover folder should be extracted to your documents.
Go to Document folder and open vocal-remover-2.1.0 folder. Press Shift and Right Click > Open PowerShell window here


Copy the following command hit return and wait for the installations to complete - pip install torch==1.3.0 torchvision==0.4.0 -f https://download.pytorch.org/whl/torch_stable.html
Copy the following command hit return and wait for the installations to complete - pip install -r requirements.txt
Copy the following command hit return and wait for the installations to complete - pip install soundstretch
Copy the following command hit return and wait for the installations to complete - pip install numba==0.48.0


Running Conversions

This AI comes with a pretty good pre-trained baseline model that you can do test conversions on. I want to make this as easy as possible to use.

1. Drop the file you want to convert into the main "vocal-remover" folder. Rename songs to a shorter text ( Somewhere Over The Rainbow ) to rainbow etc
2. Run one of the following commands:

-To perform the conversions on your CPU, copy and paste the following -
python inference.py --input YOURSONG.mp3 (or flac on cmd line below also remember to change song title)
-To perform the conversions on your GPU (faster), copy and paste the following -
python inference.py --input YOURSONG.mp3 --gpu 0
If you have a Nvidia GPU and install the compatible Cuda drivers, the conversions will be 100x faster.
 
Last edited:
pretty much just a copy and paste scenario........no need to type all that code


Open Python ----- check Add Python to path and install
Unzip Vocal Remover to Documents


Note: By this point, Python should be installed, the vocal-remover folder should be extracted to your documents.
Go to Document folder and open vocal-remover-2.1.0 folder. Press Shift and Right Click > Open PowerShell window here


Copy the following command hit return and wait for the installations to complete - pip install torch==1.3.0 torchvision==0.4.0 -f https://download.pytorch.org/whl/torch_stable.html
Copy the following command hit return and wait for the installations to complete - pip install -r requirements.txt
Copy the following command hit return and wait for the installations to complete - pip install soundstretch
Copy the following command hit return and wait for the installations to complete - pip install numba==0.48.0


Running Conversions

This AI comes with a pretty good pre-trained baseline model that you can do test conversions on. I want to make this as easy as possible to use.

1. Drop the file you want to convert into the main "vocal-remover" folder. Rename songs to a shorter text ( Somewhere Over The Rainbow ) to rainbow etc
2. Run one of the following commands:

-To perform the conversions on your CPU, copy and paste the following -
python inference.py --input YOURSONG.mp3 (or flac on cmd line below also remember to change song title)
-To perform the conversions on your GPU (faster), copy and paste the following -
python inference.py --input YOURSONG.mp3 --gpu 0
If you have a Nvidia GPU and install the compatible Cuda drivers, the conversions will be 100x faster.

I like this! I'll change the tutorial with some of that.
 
well i'm down to one error now installing it this way....... pysoundfile or something like that but its not detrimental to it working
 
well i'm down to one error now installing it this way....... pysoundfile or something like that but its not detrimental to it working

You can ignore that error. PySoundfile isn't compatible with .mp3's so it defaults to audiofile. You can safely ignore that error as it had no effect on the conversion process.
 
Okay, got it installed and followed all the steps - when I CD back to the vocal-remover folder and run the
python inference.py --input YOURSONG.mp3 command, nothing happens. Like - nothing at all.
 
The only errors I got during installation were these:

WARNING: The script f2py.exe is installed in 'c:\users\john\appdata\local\programs\python\python37\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.

WARNING: The scripts convert-caffe2-to-onnx.exe and convert-onnx-to-caffe2.exe are installed in 'c:\users\john\appdata\local\programs\python\python37\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.

But - no idea what PATH is, or what these messages mean.
 
Everything installed good but when I run python inference.py --input dontbil.mp3
I get dll load failed



Microsoft Windows [Version 6.1.7601]
Copyright (c) 2009 Microsoft Corporation. All rights reserved.

C:\Windows\System32>cd C:\Users\hgfhgfhgf\My Documents\vocal-remover

C:\Users\hgfhgfhgf\My Documents\vocal-remover>python inference.py --input dontbi
l.mp3
Traceback (most recent call last):
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python37\site-packages\numba\c
ore\typeconv\typeconv.py", line 4, in <module>
from numba.core.typeconv import _typeconv
ImportError: DLL load failed: The specified module could not be found.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "inference.py", line 5, in <module>
import librosa
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python37\site-packages\librosa
\__init__.py", line 12, in <module>
from . import core
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python37\site-packages\librosa
\core\__init__.py", line 125, in <module>
from .time_frequency import * # pylint: disable=wildcard-import
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python37\site-packages\librosa
\core\time_frequency.py", line 11, in <module>
from ..util.exceptions import ParameterError
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python37\site-packages\librosa
\util\__init__.py", line 77, in <module>
from .utils import * # pylint: disable=wildcard-import
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python37\site-packages\librosa
\util\utils.py", line 10, in <module>
import numba
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python37\site-packages\numba\_
_init__.py", line 20, in <module>
from numba.misc.special import (
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python37\site-packages\numba\m
isc\special.py", line 3, in <module>
from numba.core.typing.typeof import typeof
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python37\site-packages\numba\c
ore\typing\__init__.py", line 1, in <module>
from .context import BaseContext, Context
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python37\site-packages\numba\c
ore\typing\context.py", line 11, in <module>
from numba.core.typeconv import Conversion, rules
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python37\site-packages\numba\c
ore\typeconv\rules.py", line 2, in <module>
from .typeconv import TypeManager, TypeCastingRules
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python37\site-packages\numba\c
ore\typeconv\typeconv.py", line 17, in <module>
raise ImportError(msg % (url, reportme, str(e), sys.executable))
ImportError: Numba could not be imported.
If you are seeing this message and are undertaking Numba development work, you m
ay need to re-run:

python setup.py build_ext --inplace

(Also, please check the development set up guide http://numba.pydata.org/numba-d
oc/latest/developer/contributing.html.)

If you are not working on Numba development:

Please report the error message and traceback, along with a minimal reproducer
at: https://github.com/numba/numba/issues/new

If more help is needed please feel free to speak to the Numba core developers
directly at: https://gitter.im/numba/numba

Thanks in advance for your help in improving Numba!

The original error was: 'DLL load failed: The specified module could not be foun
d.'
--------------------------------------------------------------------------------

If possible please include the following in your error report:

sys.executable: C:\Program Files\Python37\python.exe


C:\Users\hgfhgfhgf\My Documents\vocal-remover>
 
Last edited:
Tried it with python 3.6.8 same thing


Microsoft Windows [Version 6.1.7601]
Copyright (c) 2009 Microsoft Corporation. All rights reserved.

C:\Windows\System32>cd C:\Users\hgfhgfhgf\My Documents\vocal-remover

C:\Users\hgfhgfhgf\My Documents\vocal-remover>pip install torch==1.3.0 torchvisi
on==0.4.0 -f https://download.pytorch.org/whl/torch_stable.html
Looking in links: https://download.pytorch.org/whl/torch_stable.html
Collecting torch==1.3.0
Downloading https://download.pytorch.org/whl/cu92/torch-1.3.0+cu92-cp36-cp36
m-win_amd64.whl (644.1MB)
100% |████████████████████████████████| 644.1MB 11kB/s
Collecting torchvision==0.4.0
Downloading https://download.pytorch.org/whl/cu92/torchvision-0.4.0+cu92-cp3
6-cp36m-win_amd64.whl (1.0MB)
100% |████████████████████████████████| 1.0MB 2.7MB/s
Collecting numpy (from torch==1.3.0)
Downloading https://files.pythonhosted.org/packages/5c/74/04e9fb4ed91aaca3bf76
2429c3567c9523c311b1ef615795737e16f3cd23/numpy-1.18.4-cp36-cp36m-win_amd64.whl (
12.8MB)
100% |████████████████████████████████| 12.8MB 922kB/s
Collecting pillow>=4.1.1 (from torchvision==0.4.0)
Downloading https://files.pythonhosted.org/packages/b2/ff/27b1fc89864933176014
878374fed52075a94b695080149af57c3b0dc5f5/Pillow-7.1.2-cp36-cp36m-win_amd64.whl (
2.0MB)
100% |████████████████████████████████| 2.0MB 3.3MB/s
Collecting six (from torchvision==0.4.0)
Using cached https://files.pythonhosted.org/packages/65/eb/1f97cb97bfc2390a276
969c6fae16075da282f5058082d4cb10c6c5c1dba/six-1.14.0-py2.py3-none-any.whl
Installing collected packages: numpy, torch, pillow, six, torchvision
Could not install packages due to an EnvironmentError: [WinError 5] Access is de
nied: 'c:\\program files\\python36\\Lib\\site-packages\\numpy'
Consider using the `--user` option or check the permissions.

You are using pip version 18.1, however version 20.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' comm
and.

C:\Users\hgfhgfhgf\My Documents\vocal-remover>pip install --user torch==1.3.0 to
rchvision==0.4.0 -f https://download.pytorch.org/whl/torch_stable.html
Looking in links: https://download.pytorch.org/whl/torch_stable.html
Collecting torch==1.3.0
Using cached https://download.pytorch.org/whl/cu92/torch-1.3.0+cu92-cp36-cp3
6m-win_amd64.whl
Collecting torchvision==0.4.0
Using cached https://download.pytorch.org/whl/cu92/torchvision-0.4.0+cu92-cp
36-cp36m-win_amd64.whl
Collecting numpy (from torch==1.3.0)
Using cached https://files.pythonhosted.org/packages/5c/74/04e9fb4ed91aaca3bf7
62429c3567c9523c311b1ef615795737e16f3cd23/numpy-1.18.4-cp36-cp36m-win_amd64.whl
Collecting six (from torchvision==0.4.0)
Using cached https://files.pythonhosted.org/packages/65/eb/1f97cb97bfc2390a276
969c6fae16075da282f5058082d4cb10c6c5c1dba/six-1.14.0-py2.py3-none-any.whl
Collecting pillow>=4.1.1 (from torchvision==0.4.0)
Using cached https://files.pythonhosted.org/packages/b2/ff/27b1fc8986493317601
4878374fed52075a94b695080149af57c3b0dc5f5/Pillow-7.1.2-cp36-cp36m-win_amd64.whl
Installing collected packages: numpy, torch, six, pillow, torchvision
The script f2py.exe is installed in 'C:\Users\hgfhgfhgf\AppData\Roaming\Python
\Python36\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warn
ing, use --no-warn-script-location.
The scripts convert-caffe2-to-onnx.exe and convert-onnx-to-caffe2.exe are inst
alled in 'C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python36\Scripts' which is n
ot on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warn
ing, use --no-warn-script-location.
Successfully installed numpy-1.18.4 pillow-7.1.2 six-1.14.0 torch-1.3.0+cu92 tor
chvision-0.4.0+cu92
You are using pip version 18.1, however version 20.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' comm
and.

C:\Users\hgfhgfhgf\My Documents\vocal-remover>pip install --user -r requirements
.txt
Collecting tqdm>=4.30 (from -r requirements.txt (line 1))
Using cached https://files.pythonhosted.org/packages/c9/40/058b12e8ba10e35f89c
9b1fdfc2d4c7f8c05947df2d5eb3c7b258019fda0/tqdm-4.46.0-py2.py3-none-any.whl
Collecting librosa>=0.6.3 (from -r requirements.txt (line 2))
Using cached https://files.pythonhosted.org/packages/77/b5/1817862d64a7c231afd
15419d8418ae1f000742cac275e85c74b219cbccb/librosa-0.7.2.tar.gz
Requirement already satisfied: torch>=1.3.0 in c:\users\hgfhgfhgf\appdata\roamin
g\python\python36\site-packages (from -r requirements.txt (line 3)) (1.3.0+cu92)

Requirement already satisfied: torchvision>=0.4.0 in c:\users\hgfhgfhgf\appdata\
roaming\python\python36\site-packages (from -r requirements.txt (line 4)) (0.4.0
+cu92)
Collecting opencv_python>=4.0.0 (from -r requirements.txt (line 5))
Downloading https://files.pythonhosted.org/packages/b6/ef/ad0423cae9abb45bf536
af451f1f65bea35369b56aca36908560efcf6a9f/opencv_python-4.2.0.34-cp36-cp36m-win_a
md64.whl (33.0MB)
100% |████████████████████████████████| 33.1MB 153kB/s
Collecting audioread>=2.0.0 (from librosa>=0.6.3->-r requirements.txt (line 2))
Using cached https://files.pythonhosted.org/packages/2e/0b/940ea7861e0e9049f09
dcfd72a90c9ae55f697c17c299a323f0148f913d2/audioread-2.1.8.tar.gz
Requirement already satisfied: numpy>=1.15.0 in c:\users\hgfhgfhgf\appdata\roami
ng\python\python36\site-packages (from librosa>=0.6.3->-r requirements.txt (line
2)) (1.18.4)
Collecting scipy>=1.0.0 (from librosa>=0.6.3->-r requirements.txt (line 2))
Downloading https://files.pythonhosted.org/packages/8d/2f/fcb6150813b89d628749
784370132e431f687ebab5a1063eb298cc941f76/scipy-1.4.1-cp36-cp36m-win_amd64.whl (3
0.8MB)
100% |████████████████████████████████| 30.8MB 240kB/s
Collecting scikit-learn!=0.19.0,>=0.14.0 (from librosa>=0.6.3->-r requirements.t
xt (line 2))
Downloading https://files.pythonhosted.org/packages/59/49/a6e1f2b9f94e4fca0c04
f166db5c713c6d0a81c2f039fb0c66e770bbbcb1/scikit_learn-0.22.2.post1-cp36-cp36m-wi
n_amd64.whl (6.5MB)
100% |████████████████████████████████| 6.5MB 2.0MB/s
Collecting joblib>=0.12 (from librosa>=0.6.3->-r requirements.txt (line 2))
Using cached https://files.pythonhosted.org/packages/28/5c/cf6a2b65a321c4a209e
fcdf64c2689efae2cb62661f8f6f4bb28547cf1bf/joblib-0.14.1-py2.py3-none-any.whl
Collecting decorator>=3.0.0 (from librosa>=0.6.3->-r requirements.txt (line 2))
Using cached https://files.pythonhosted.org/packages/ed/1b/72a1821152d07cf1d8b
6fce298aeb06a7eb90f4d6d41acec9861e7cc6df0/decorator-4.4.2-py2.py3-none-any.whl
Requirement already satisfied: six>=1.3 in c:\users\hgfhgfhgf\appdata\roaming\py
thon\python36\site-packages (from librosa>=0.6.3->-r requirements.txt (line 2))
(1.14.0)
Collecting resampy>=0.2.2 (from librosa>=0.6.3->-r requirements.txt (line 2))
Using cached https://files.pythonhosted.org/packages/79/75/e22272b9c2185fc8f3a
f6ce37229708b45e8b855fd4bc38b4d6b040fff65/resampy-0.2.2.tar.gz
Collecting numba>=0.43.0 (from librosa>=0.6.3->-r requirements.txt (line 2))
Downloading https://files.pythonhosted.org/packages/b8/d9/0b4978aa05b2a2969c82
55ec83d6e61af70eef4c028478814225e8925086/numba-0.49.0-cp36-cp36m-win_amd64.whl (
2.1MB)
100% |████████████████████████████████| 2.1MB 3.5MB/s
Collecting soundfile>=0.9.0 (from librosa>=0.6.3->-r requirements.txt (line 2))
Using cached https://files.pythonhosted.org/packages/b8/de/24e4035f06540ebb4e9
993238ede787063875b003e79c537511d32a74d29/SoundFile-0.10.3.post1-py2.py3.cp26.cp
27.cp32.cp33.cp34.cp35.cp36.pp27.pp32.pp33-none-win_amd64.whl
Requirement already satisfied: pillow>=4.1.1 in c:\users\hgfhgfhgf\appdata\roami
ng\python\python36\site-packages (from torchvision>=0.4.0->-r requirements.txt (
line 4)) (7.1.2)
Requirement already satisfied: setuptools in c:\program files\python36\lib\site-
packages (from numba>=0.43.0->librosa>=0.6.3->-r requirements.txt (line 2)) (40.
6.2)
Collecting llvmlite<=0.33.0.dev0,>=0.31.0.dev0 (from numba>=0.43.0->librosa>=0.6
.3->-r requirements.txt (line 2))
Downloading https://files.pythonhosted.org/packages/89/d0/f1c06904c1c06a961037
ad0593190b2656dc2c1d747308aca9515682e96b/llvmlite-0.32.0-cp36-cp36m-win_amd64.wh
l (13.6MB)
100% |████████████████████████████████| 13.6MB 1.5MB/s
Collecting cffi>=1.0 (from soundfile>=0.9.0->librosa>=0.6.3->-r requirements.txt
(line 2))
Downloading https://files.pythonhosted.org/packages/94/49/8df433247344bf992ed3
19416a3c252f190dbfd7331cf7bb1432ca46980f/cffi-1.14.0-cp36-cp36m-win_amd64.whl (1
76kB)
100% |████████████████████████████████| 184kB 5.4MB/s
Collecting pycparser (from cffi>=1.0->soundfile>=0.9.0->librosa>=0.6.3->-r requi
rements.txt (line 2))
Using cached https://files.pythonhosted.org/packages/ae/e7/d9c3a176ca4b02024de
bf82342dab36efadfc5776f9c8db077e8f6e71821/pycparser-2.20-py2.py3-none-any.whl
Installing collected packages: tqdm, audioread, scipy, joblib, scikit-learn, dec
orator, llvmlite, numba, resampy, pycparser, cffi, soundfile, librosa, opencv-py
thon
The script tqdm.exe is installed in 'C:\Users\hgfhgfhgf\AppData\Roaming\Python
\Python36\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warn
ing, use --no-warn-script-location.
Running setup.py install for audioread ... done
Running setup.py install for resampy ... done
Running setup.py install for librosa ... done
Successfully installed audioread-2.1.8 cffi-1.14.0 decorator-4.4.2 joblib-0.14.1
librosa-0.7.2 llvmlite-0.32.0 numba-0.49.0 opencv-python-4.2.0.34 pycparser-2.2
0 resampy-0.2.2 scikit-learn-0.22.2.post1 scipy-1.4.1 soundfile-0.10.3.post1 tqd
m-4.46.0
You are using pip version 18.1, however version 20.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' comm
and.

C:\Users\hgfhgfhgf\My Documents\vocal-remover>pip install --user soundstretch
Collecting soundstretch
Using cached https://files.pythonhosted.org/packages/7b/49/eaf2bc7cbbca5c6973b
6a332de233bcedd333182f3b9932c8442b7b87bd1/soundstretch-1.2.tar.gz
Requirement already satisfied: numpy in c:\users\hgfhgfhgf\appdata\roaming\pytho
n\python36\site-packages (from soundstretch) (1.18.4)
Requirement already satisfied: scipy in c:\users\hgfhgfhgf\appdata\roaming\pytho
n\python36\site-packages (from soundstretch) (1.4.1)
Installing collected packages: soundstretch
Running setup.py install for soundstretch ... done
Successfully installed soundstretch-1.2
You are using pip version 18.1, however version 20.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' comm
and.

C:\Users\hgfhgfhgf\My Documents\vocal-remover>python inference.py --input dontbi
l.mp3
Traceback (most recent call last):
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python36\site-packages\numba\c
ore\typeconv\typeconv.py", line 4, in <module>
from numba.core.typeconv import _typeconv
ImportError: DLL load failed: The specified module could not be found.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "inference.py", line 5, in <module>
import librosa
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python36\site-packages\librosa
\__init__.py", line 12, in <module>
from . import core
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python36\site-packages\librosa
\core\__init__.py", line 125, in <module>
from .time_frequency import * # pylint: disable=wildcard-import
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python36\site-packages\librosa
\core\time_frequency.py", line 11, in <module>
from ..util.exceptions import ParameterError
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python36\site-packages\librosa
\util\__init__.py", line 77, in <module>
from .utils import * # pylint: disable=wildcard-import
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python36\site-packages\librosa
\util\utils.py", line 10, in <module>
import numba
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python36\site-packages\numba\_
_init__.py", line 20, in <module>
from numba.misc.special import (
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python36\site-packages\numba\m
isc\special.py", line 3, in <module>
from numba.core.typing.typeof import typeof
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python36\site-packages\numba\c
ore\typing\__init__.py", line 1, in <module>
from .context import BaseContext, Context
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python36\site-packages\numba\c
ore\typing\context.py", line 11, in <module>
from numba.core.typeconv import Conversion, rules
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python36\site-packages\numba\c
ore\typeconv\rules.py", line 2, in <module>
from .typeconv import TypeManager, TypeCastingRules
File "C:\Users\hgfhgfhgf\AppData\Roaming\Python\Python36\site-packages\numba\c
ore\typeconv\typeconv.py", line 17, in <module>
raise ImportError(msg % (url, reportme, str(e), sys.executable))
ImportError: Numba could not be imported.
If you are seeing this message and are undertaking Numba development work, you m
ay need to re-run:

python setup.py build_ext --inplace

(Also, please check the development set up guide http://numba.pydata.org/numba-d
oc/latest/developer/contributing.html.)

If you are not working on Numba development:

Please report the error message and traceback, along with a minimal reproducer
at: https://github.com/numba/numba/issues/new

If more help is needed please feel free to speak to the Numba core developers
directly at: https://gitter.im/numba/numba

Thanks in advance for your help in improving Numba!

The original error was: 'DLL load failed: The specified module could not be foun
d.'
--------------------------------------------------------------------------------

If possible please include the following in your error report:

sys.executable: C:\Program Files\Python36\python.exe


C:\Users\hgfhgfhgf\My Documents\vocal-remover>
 
Ok reinstalled python 3.7.6 but this time didnt check the box "intall to PATH" now it's working. I put in your newest multi-genre model 5/3/2020 also and will update with the results of my first song. Very slow laptop though so this is gonna be a while... THANKS A MILLION!!!
 
Ok reinstalled python 3.7.6 but this time didnt check the box "intall to PATH" now it's working. I put in your newest multi-genre model 5/3/2020 also and will update with the results of my first song. Very slow laptop though so this is gonna be a while... THANKS A MILLION!!!

Awesome!! I'm glad it worked! The multi-genre model I uploaded is much better than the original base model. However, I'm going to be coming out with an even better one this week. So far the new one I'm making now is outperforming the one I posted.