Metadata-Version: 2.1
Name: spleeter
Version: 1.5.2
Summary: 
        The Deezer source separation library with
        pretrained models based on tensorflow.    
Home-page: https://github.com/deezer/spleeter
Author: Deezer Research
Author-email: research@deezer.com
License: MIT License
Platform: UNKNOWN
Classifier: Environment :: Console
Classifier: Environment :: MacOS X
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Artistic Software
Classifier: Topic :: Multimedia
Classifier: Topic :: Multimedia :: Sound/Audio
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Topic :: Multimedia :: Sound/Audio :: Conversion
Classifier: Topic :: Multimedia :: Sound/Audio :: Sound Synthesis
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Requires-Python: >=3.6, <3.8
Description-Content-Type: text/markdown
Requires-Dist: ffmpeg-python
Requires-Dist: norbert (==0.2.1)
Requires-Dist: pandas (==0.25.1)
Requires-Dist: requests
Requires-Dist: setuptools (>=41.0.0)
Requires-Dist: librosa (==0.7.2)
Requires-Dist: tensorflow (==1.15.2)
Requires-Dist: importlib-resources ; python_version < "3.7"
Provides-Extra: evaluation
Requires-Dist: musdb (==0.3.1) ; extra == 'evaluation'
Requires-Dist: museval (==0.3.0) ; extra == 'evaluation'

<img src="https://github.com/deezer/spleeter/raw/master/images/spleeter_logo.png" height="80" />

[![CircleCI](https://circleci.com/gh/deezer/spleeter/tree/master.svg?style=shield)](https://circleci.com/gh/deezer/spleeter/tree/master) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/spleeter) [![PyPI version](https://badge.fury.io/py/spleeter.svg)](https://badge.fury.io/py/spleeter) [![Conda](https://img.shields.io/conda/vn/conda-forge/spleeter)](https://anaconda.org/conda-forge/spleeter) [![Docker Pulls](https://img.shields.io/docker/pulls/researchdeezer/spleeter)](https://hub.docker.com/r/researchdeezer/spleeter) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deezer/spleeter/blob/master/spleeter.ipynb) [![Gitter chat](https://badges.gitter.im/gitterHQ/gitter.png)](https://gitter.im/spleeter/community) [![status](https://joss.theoj.org/papers/259e5efe669945a343bad6eccb89018b/status.svg)](https://joss.theoj.org/papers/259e5efe669945a343bad6eccb89018b)

## About

**Spleeter** is the [Deezer](https://www.deezer.com/) source separation library with pretrained models
written in [Python](https://www.python.org/) and uses [Tensorflow](https://tensorflow.org/). 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](https://github.com/deezer/spleeter/wiki/2.-Getting-started#using-2stems-model))
* Vocals / drums / bass / other separation ([4 stems](https://github.com/deezer/spleeter/wiki/2.-Getting-started#using-4stems-model))
* Vocals / drums / bass / piano / other separation ([5 stems](https://github.com/deezer/spleeter/wiki/2.-Getting-started#using-5stems-model))

2 stems and 4 stems models have state of the art performances on the [musdb](https://sigsep.github.io/datasets/musdb.html) 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](https://github.com/deezer/spleeter/wiki/2.-Getting-started#usage)
as well as directly in your own development pipeline as a [Python library](https://github.com/deezer/spleeter/wiki/4.-API-Reference#separator). It can be installed with [Conda](https://github.com/deezer/spleeter/wiki/1.-Installation#using-conda),
with [pip](https://github.com/deezer/spleeter/wiki/1.-Installation#using-pip) or be used with
[Docker](https://github.com/deezer/spleeter/wiki/2.-Getting-started#using-docker-image).


## Quick start

Want to try it out but don't want to install anything ? We have setup a [Google Colab](https://colab.research.google.com/github/deezer/spleeter/blob/master/spleeter.ipynb).

Ready to dig into it ? In a few lines you can install **Spleeter** using [Conda](https://github.com/deezer/spleeter/wiki/1.-Installation#using-conda) and separate the vocal and accompaniment parts from an example audio file:

```bash
# 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](https://github.com/deezer/spleeter/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):

```bash
git clone https://github.com/Deezer/spleeter
python -m venv spleeterenv && source spleeterenv/bin/activate
pip install -r requirements.txt && pip install pytest pytest-xdist
make test
```

## Reference

* Deezer Research - Source Separation Engine Story - deezer.io blog post:
  * [English version](https://deezer.io/releasing-spleeter-deezer-r-d-source-separation-engine-2b88985e797e)
  * [Japanese version](http://dzr.fm/splitterjp)
* [Music Source Separation tool with pre-trained models / ISMIR2019 extended abstract](http://archives.ismir.net/ismir2019/latebreaking/000036.pdf)

If you use **Spleeter** in your work, please cite:

```BibTeX
@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},
  note={Deezer Research},
  year={2019}
}
```

## 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.

### Forks and related projects

As is commonly the case with open-source projects, 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.

## 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](https://github.com/deezer/spleeter/wiki/5.-FAQ) first as well as the list of [currently open issues](https://github.com/deezer/spleeter/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** your 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.

## 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


