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Paper Abstract and Keywords
Presentation 2010-12-10 13:45
Diffuse noise robust multiple source localization based on noise reduction in covariance matrix domain
Nobutaka Ito (Univ. Tokyo), Emmanuel Vincent (INRIA Rennes), Nobutaka Ono (Univ. Tokyo), Remi Gribonval (INRIA Rennes), Shigeki Sagayama (Univ. Tokyo) EA2010-102
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a method for estimating the azimuths of multiple sound sources accurately even in the presence of diffuse noise. MUSIC (MUltiple SIgnal Classification) for the estimation of the azimuths of multiple sources is robust against spatially white noise but the estimation performance degrades in the presence of diffuse noise.
Based on a low-rank assumption on the covariance matrix of directional signals
and the assumption that the covariance matrix of diffuse noise belongs to a subspace in a matrix space,
the proposed method estimates the covariance matrix of the directional signals
and applies MUSIC to the estimated matrix.
The subspace model on the covariance matrix of diffuse noise includes as special cases
noise models such as spatially uncorrelated noise,
noise with a given coherence matrix, and isotropic noise observed with a crystal array.
We showed through experiments with real-world noise recordings
that the proposed method estimated the azimuths of multiple sources more accurately than
the conventional MUSIC.
Keyword (in Japanese) (See Japanese page) 
(in English) source localization / covariance matrix / microphone arrays / MUSIC / diffuse noise / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 331, EA2010-102, pp. 31-36, Dec. 2010.
Paper # EA2010-102 
Date of Issue 2010-12-03 (EA) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee EA  
Conference Date 2010-12-10 - 2010-12-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. of Tsukuba 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General Topics 
Paper Information
Registration To EA 
Conference Code 2010-12-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Diffuse noise robust multiple source localization based on noise reduction in covariance matrix domain 
Sub Title (in English)  
Keyword(1) source localization  
Keyword(2) covariance matrix  
Keyword(3) microphone arrays  
Keyword(4) MUSIC  
Keyword(5) diffuse noise  
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Keyword(8)  
1st Author's Name Nobutaka Ito  
1st Author's Affiliation University of Tokyo (Univ. Tokyo)
2nd Author's Name Emmanuel Vincent  
2nd Author's Affiliation Institut National de Recherche en Informatique et Automatique (INRIA Rennes)
3rd Author's Name Nobutaka Ono  
3rd Author's Affiliation University of Tokyo (Univ. Tokyo)
4th Author's Name Remi Gribonval  
4th Author's Affiliation Institut National de Recherche en Informatique et Automatique (INRIA Rennes)
5th Author's Name Shigeki Sagayama  
5th Author's Affiliation University of Tokyo (Univ. Tokyo)
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Speaker
Date Time 2010-12-10 13:45:00 
Presentation Time 25 
Registration for EA 
Paper # IEICE-EA2010-102 
Volume (vol) IEICE-110 
Number (no) no.331 
Page pp.31-36 
#Pages IEICE-6 
Date of Issue IEICE-EA-2010-12-03 


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