About
Spleeter is the 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 state of the art 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.
Quick start
Want to try it out ? Just clone the repository and install a Conda environment to start separating audio file as follows:
git clone https://github.com/Deezer/spleeter conda env create -f spleeter/conda/spleeter-cpu.yaml conda activate spleeter-cpu spleeter separate -i spleeter/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 more detailed documentation, please check the repository wiki
Reference
If you use Spleeter in your work, please cite:
@misc{spleeter2019, title={Spleeter: A Fast And State-of-the Art Music Source Separation Tool With Pre-trained Models}, author={Romain Hennequin and Anis Khlif and Felix Voituret and Manuel Moussallam}, howpublished={Late-Breaking/Demo ISMIR 2019}, month={November}, year={2019} }
License
The code of Spleeter is MIT-licensed.
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. http://dig.ccmixter.org/files/stevieb357/34740 Ft: CSoul,Alex Beroza & Robert Siekawitch
from Hacker News https://ift.tt/2ppdjAS
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