NDLI: Evaluation of emerging frequency domain convolutive blind source separation algorithms based on real room recordings

Content Provider	IEEE Xplore Digital Library
Author	Naqvi, S.M. Zhang, Y. Tsalaile, T. Sanei, S. Chambers, J.A.
Copyright Year	2008
Description	Author affiliation: Dept. of Electron. & Electr. Eng., Loughborough Univ., Loughborough (Naqvi, S.M.; Zhang, Y.; Tsalaile, T.)
Abstract	This paper presents a comparative study of three of the emerging frequency domain convolutive blind source separation (FDCBSS) techniques i.e. convolutive blind separation of non-stationary sources due to Parra and Spence, penalty function-based joint diagonalization approach for convolutive blind separation of nonstationary sources due to Wang et al. and a geometrically constrained multimodal approach for convolutive blind source separation due to Sanei et al. Objective evaluation is performed on the basis of signal to interference ratio (SIR), performance index (PI) and solution to the permutation problem. The results confirm that a multimodal approach is necessary to properly mitigate the permutation in BSS and ultimately to solve the cocktail party problem. In other words, it is to make BSS semiblind by exploiting prior geometrical information, and thereby providing the framework to find robust solutions for more challenging source separation with moving speakers.
Starting Page	345
Ending Page	348
File Size	513297
Page Count	4
File Format	PDF
ISBN	9781424422401
DOI	10.1109/SAM.2008.4606886
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-21
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency domain analysis Source separation Performance analysis Blind source separation Speech Cost function Covariance matrix cocktail party problem and multimodal signal separation Frequency domain (BSS) geometrical constraints orthogonal/nonorthogonal constraints penalty functions
Content Type	Text
Resource Type	Article

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