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Singing-Voice Separation From Monaural Recordings Using Robust Principal Component Analysis
MATLAB Fortran C TeX
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bss_eval
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README.md
istft.m
rpca_mask_demo.m
rpca_mask_evaluation.m
rpca_mask_execute.m
stft.m

README.md

Singing-Voice Separation From Monaural Recordings Using Robust Principal Component

This package contains the Matlab codes implementing the RPCA source separation algorithm described in "Singing-Voice Separation From Monaural Recordings Using Robust Principal Component Analysis," ICASSP 2012.

Our algorithm is composed of the following parts:

The algorithm achieves the state-of-the-art performance on MIR-1K Dataset in an unsupervised way.

Demo

Run rpca_mask_demo.m to see how the functions are called. Change RUN_EVALUATION = 0 if you don't need evaluation.

For more information, please check: https://sites.google.com/site/singingvoiceseparationrpca/

License

MIT

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