Single-channel blind separation using L1-sparse complex non-negative matrix factorization for acoustic signals

Parathai, P., Woo, Wai Lok, Dlay, Satnam and Gao, Bin (2015) Single-channel blind separation using L1-sparse complex non-negative matrix factorization for acoustic signals. The Journal of the Acoustical Society of America, 137 (1). EL124-EL129. ISSN 0001-4966

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Abstract

An innovative method of single-channel blind source separation is proposed. The proposed method is a complex-valued non-negative matrix factorization with probabilistically optimal L1-norm sparsity. This preserves the phase information of the source signals and enforces the inherent structures of the temporal codes to be optimally sparse, thus resulting in more meaningful parts factorization. An efficient algorithm with closed-form expression to compute the parameters of the model including the sparsity has been developed. Real-time acoustic mixtures recorded from a single-channel are used to verify the effectiveness of the proposed method.

Item Type:	Article
Subjects:	F300 Physics G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	10 Apr 2019 14:25
Last Modified:	10 Oct 2019 20:15
URI:	http://nrl.northumbria.ac.uk/id/eprint/38905

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