NDLI: An expectation-maximization method for the permutation problem in frequency-domain blind source separation

Content Provider	IEEE Xplore Digital Library
Author	Thom-Thi Ngo Seung-Hyon Nam
Copyright Year	2010
Description	Author affiliation: Department of Electronic Engineering, Paichai University, 439-6 Doma-dong, Seo-gu, Daejeon, Korea (Thom-Thi Ngo; Seung-Hyon Nam)
Abstract	This paper describes a new method for solving the permutation problem in frequency-domain blind source separation (FDBSS). The permutation problem in FDBSS is the well-known order-changing problem of separating spectra, which is caused by the independent separating process in each frequency bin. The new solution is based on the expectation-maximization (EM) technique applied to phases of inverse separating filters. The EM algorithm treats spatial aliasing implicitly and exploits statistics of a room environment embedded in the inverse of separating filters. As a result, it provides more robust performance than other existing methods based on source directions. In addition, it does not require any knowledge of the microphone geometry. Experimental results in reverberant environments demonstrate good performance of the proposed method.
Starting Page	17
Ending Page	20
File Size	251126
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5496274
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blind source separation Microphones Filters Frequency domain analysis Independent component analysis Direction of arrival estimation Frequency estimation Statistical distributions Array signal processing Information geometry Expectation-Maximization Permutation solution frequency-domain blind source separation
Content Type	Text
Resource Type	Article

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