Blind Source Separation

Module contents

Blind Source Separation

Implementations of a few blind source separation (BSS) algorithms.

Independent Vector Analysis [1]
Independent Low-Rank Matrix Analysis [3]
Sparse Independent Vector Analysis [4]
Fast Multichannel Nonnegative Matrix Factorization [5]

A few commonly used functions, such as projection back, can be found in pyroomacoustics.bss.common.


[1]N. Ono, Stable and fast update rules for independent vector analysis based on auxiliary function technique, Proc. IEEE, WASPAA, pp. 189-192, Oct. 2011.
[2]R. Aichner, H. Buchner, F. Yan, and W. Kellermann A real-time blind source separation scheme and its application to reverberant and noisy acoustic environments, Signal Processing, 86(6), 1260-1277. doi:10.1016/j.sigpro.2005.06.022, 2006.
[3]D. Kitamura, N. Ono, H. Sawada, H. Kameoka, H. Saruwatari, Determined blind source separation unifying independent vector analysis and nonnegative matrix factorization, IEEE/ACM Trans. ASLP, vol. 24, no. 9, pp. 1626-1641, Sept. 2016
[4]J. Janský, Z. Koldovský, and N. Ono, A computationally cheaper method for blind speech separation based on AuxIVA and incomplete demixing transform, Proc. IEEE, IWAENC, pp. 1-5, Sept. 2016.
[5]K. Sekiguchi, A. A. Nugraha, Y. Bando, K. Yoshii, Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices, EUSIPCO, 2019.