spleeter-gpu 2.0.2

Creator: bradpython12

Last updated:

0 purchases

spleeter-gpu 2.0.2 Image
spleeter-gpu 2.0.2 Images

Languages

Categories

Add to Cart

Description:

spleetergpu 2.0.2

About
Spleeter is Deezer source separation library with pretrained models
written in Python and uses Tensorflow. It makes it easy
to train source separation model (assuming you have a dataset of isolated sources), and provides
already trained state of the art model for performing various flavour of separation :

Vocals (singing voice) / accompaniment separation (2 stems)
Vocals / drums / bass / other separation (4 stems)
Vocals / drums / bass / piano / other separation (5 stems)

2 stems and 4 stems models have high performances on the musdb dataset. Spleeter is also very fast as it can perform separation of audio files to 4 stems 100x faster than real-time when run on a GPU.
We designed Spleeter so you can use it straight from command line
as well as directly in your own development pipeline as a Python library. It can be installed with Conda,
with pip or be used with
Docker.
Projects and Softwares using Spleeter
Since it's been released, there are multiple forks exposing Spleeter through either a Guided User Interface (GUI) or a standalone free or paying website. Please note that we do not host, maintain or directly support any of these initiatives.
That being said, many cool projects have been built on top of ours. Notably the porting to the Ableton Live ecosystem through the Spleeter 4 Max project.
Spleeter pre-trained models have also been used by professionnal audio softwares. Here's a non-exhaustive list:

iZotope in its Music Rebalance feature within RX 8
SpectralLayers in its Unmix feature in SpectralLayers 7
Acon Digital within Acoustica 7
VirtualDJ in their stem isolation feature
Algoriddim in their NeuralMix and djayPRO app suite

Quick start
Want to try it out but don't want to install anything ? We have set up a Google Colab.
Ready to dig into it ? In a few lines you can install Spleeter using Conda and separate the vocal and accompaniment parts from an example audio file:
# install using conda
conda install -c conda-forge spleeter
# download an example audio file (if you don't have wget, use another tool for downloading)
wget https://github.com/deezer/spleeter/raw/master/audio_example.mp3
# separate the example audio into two components
spleeter separate -i audio_example.mp3 -p spleeter:2stems -o output

You should get two separated audio files (vocals.wav and accompaniment.wav) in the output/audio_example folder.
For a detailed documentation, please check the repository wiki
Development and Testing
The following set of commands will clone this repository, create a virtual environment provisioned with the dependencies and run the tests (will take a few minutes):
git clone https://github.com/Deezer/spleeter && cd spleeter
python -m venv spleeterenv && source spleeterenv/bin/activate
pip install . && pip install pytest pytest-xdist
make test

Reference

Deezer Research - Source Separation Engine Story - deezer.io blog post:

English version
Japanese version


Music Source Separation tool with pre-trained models / ISMIR2019 extended abstract

If you use Spleeter in your work, please cite:
@article{spleeter2020,
doi = {10.21105/joss.02154},
url = {https://doi.org/10.21105/joss.02154},
year = {2020},
publisher = {The Open Journal},
volume = {5},
number = {50},
pages = {2154},
author = {Romain Hennequin and Anis Khlif and Felix Voituret and Manuel Moussallam},
title = {Spleeter: a fast and efficient music source separation tool with pre-trained models},
journal = {Journal of Open Source Software},
note = {Deezer Research}
}

License
The code of Spleeter is MIT-licensed.
Disclaimer
If you plan to use Spleeter on copyrighted material, make sure you get proper authorization from right owners beforehand.
Troubleshooting
Spleeter is a complex piece of software and although we continously try to improve and test it you may encounter unexpected issues running it. If that's the case please check the FAQ page first as well as the list of currently open issues
Windows users
It appears that sometimes the shortcut command spleeter does not work properly on windows. This is a known issue that we will hopefully fix soon. In the meantime replace spleeter separate by python -m spleeter separate in command line and it should work.
Contributing
If you would like to participate in the development of Spleeter you are more than welcome to do so. Don't hesitate to throw us a pull request and we'll do our best to examine it quickly. Please check out our guidelines first.
Note
This repository include a demo audio file audio_example.mp3 which is an excerpt
from Slow Motion Dream by Steven M Bryant (c) copyright 2011 Licensed under a Creative
Commons Attribution (3.0) license
Ft: CSoul,Alex Beroza & Robert Siekawitch

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

Customer Reviews

There are no reviews.