Bach10 Score-Informed Separation ISMIR2017

This dataset accompanies the paper:
M.Miron, J.Janer,E.Gomez,"Monaural score-informed source separation for classical music using convolutional neural networks", ISMIR 2017

The files are based on Bach10 dataset which comprises 10 Bach chorales: http://music.cs.northwestern.edu/data/Bach10.html

It comprises results in terms of SDR, SIR, SAR as .mat files for the methods presented in the paper.
Additionally, we include audio .wav files for the proposed score-informed source separation method using convolutional neural networks and for the score-informed NMF counterpart.

The code is available at the github repository: https://github.com/nkundiushuti