By Ethan Manilow, Prem Seetharaman, and Justin Salamon

This is the code repository for our ISMIR 2020 tutorial about Open Source tools for Source Separation. This repo contains the code to build the jupyter book website where the tutorial content is hosted.

Click here to visit the tutorial!

To build the book, do the following:

pip install -e .
python -m common.data --run.cmd='download'
jb build --all book/

To run a basic mask estimation experiment with a Chimera network, do the following, given the base configuration included in common/exp/conf/chimera.yml:

First, prepare the MUSDB data:

# Symlink your data directory to ./data/ and prepare it for scaper
python -m common.data --args.load=common/exp/conf/chimera.yml

Now, train, evaluate, and listen to a model:

# Train and evaluate the model
python -m common.exp.chimera --args.load=common/exp/conf/chimera.yml

Open a github issue here