MTG/content_choral_separation

A python library for Content Based Singing Voice Extraction:

A Deep Learning Based Analysis-Synthesis Framework For Unison Singing

Pritish Chandna, Helena Cuesta and Emilia Gomez

Content Based Singing Voice Extraction From a Musical Mixture

Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gomez

Music Technology Group, Universitat Pompeu Fabra, Barcelona

Installation

To install, run

python setup.py install

to install the package and dependencies

Trained Models

Trained models can be found at this link. Please download and set the corresponding paths in the config.ini file found in /synth/config.

Examples for applications

Examples for the STU and UTS case can be seen in the example_STU.py and example_UTS.py files

License

Copyright 2020 Music Technology Group, Universitat Pompeu Fabra

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.