Published June 29, 2017 | Version v2
Dataset Open

Bach10 Score-Informed Separation ISMIR2017


  • 1. Universitat Pompeu Fabra, Barcelona


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:

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:

We include the trained CNN model for the proposed approach, which can be used to separate Bach chorales with the code provided at the github repository. 


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