Effect of Central Limit Theorem non-compliance on blind separation of speech by negentropy maximization


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Title:	Effect of Central Limit Theorem non-compliance on blind separation of speech by negentropy maximization
Authors:	Rajkishore Prasad Hiroshi Saruwatari Kiyohiro Shikano
Keywords:	Blind signal separation Independent component analysis Negentropy Central limit theorem Speech signal Microphone array
Issue Date:	Nov-2005
Publisher:	日本音響学会
Journal Title:	Acoustical Science and Technology
Volume:	26
Issue:	6
Start page:	511
End page:	522
Abstract:	In this paper the blind separation of speech signals from their convoluted mixtures using frequency domain fixed-point independent component analysis algorithm, based on negentropy maximization, is presented. We also discuss fundamental problems of fixed-point ICA by negentropy maximization arising in the separation of the speech signal due to disobedience of the Central Limit Theorem (CLT) by the mixed speech data in the frequency domain. The experimental evidences show that CLT failure is happening due to the spectral sparseness of sources. We also present a blind method to mitigate the negative effects of this by combining null beamforming with the ICA. This combination gives a good result under the low reverberation conditions.
URI:	http://hdl.handle.net/10061/7809
ISSN:	1346-3969
Rights:	Copyright (C) 2005 日本音響学会.
Text Version:	publisher
Publisher DOI:	10.1250/ast.26.511
Appears in Collections:	情報科学研究科 / Graduate School of Information Science

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