In this paper, the problem of blind separation of a convolutive mixture of audio signals is considered. A fast and efficient frequency-domain blind source separation (BSS) method using Independent component analysis (ICA) is investigated. The main difficulties of this approach lie in the so called permutation and amplitude problems. In order to solve the permutation ambiguity, the final value of the ICA derived separation matrix of one frequency bin, is used to initialize the ICA iterations in the next frequency bin. The amplitude problem is addressed by utilizing the elements in the inverse of the separation matrix. Experimental results demonstrate that successful separation is achieved and compared with conventional frequency-domain BSS methods, it is less computationally complex and has faster convergence.
P. Xie and S. L. Grant, "A Fast and Efficient Frequency-Domain Method for Convolutive Blind Source Separation," Proceedings of the IEEE Region 5 Conference, 2008, Institute of Electrical and Electronics Engineers (IEEE), Apr 2008.
The definitive version is available at http://dx.doi.org/10.1109/TPSD.2008.4562739
IEEE Region 5 Conference, 2008
Electrical and Computer Engineering
Wilkens Missouri Endowment
Keywords and Phrases
Array Signal Processing; Independent Component Analysis
Library of Congress Subject Headings
Blind source separation
Article - Conference proceedings
© 2008 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.