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Paper Abstract and Keywords
Presentation 2019-03-14 15:40
Estimation of rank-constrained spatial covariance model based on multivariate complex Student's t distribution for blind source separation
Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (Kagawa NCIT), Hiroshi Saruwatari (UTokyo) EA2018-128 SIP2018-134 SP2018-90
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we generalize a generative model in estimation of rank-constrained spatial covariance model that separates directional target and diffuse background sources.
Conventional method models an observed signal with the multivariate complex Gaussian distribution and efficiently separates the target source.
This paper models an observed signal with the multivariate complex Student's $t$-distribution and proposes its optimization algorithm.
In the experiments, we separate speech signal and diffuse babble, station, and traffic noise to show superiority of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) blind source separation / spatial covariance model / multivariate complex Student's $t$-distribution / auxiliary function method / multiplicative update rule / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 495, EA2018-128, pp. 173-178, March 2019.
Paper # EA2018-128 
Date of Issue 2019-03-07 (EA, SIP, SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction
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)
Download PDF EA2018-128 SIP2018-134 SP2018-90

Conference Information
Committee EA SIP SP  
Conference Date 2019-03-14 - 2019-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) i+Land nagasaki (Nagasaki-shi) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Engineering/Electro Acoustics, Signal Processing, Speech, and Related Topics 
Paper Information
Registration To EA 
Conference Code 2019-03-EA-SIP-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of rank-constrained spatial covariance model based on multivariate complex Student's t distribution for blind source separation 
Sub Title (in English)  
Keyword(1) blind source separation  
Keyword(2) spatial covariance model  
Keyword(3) multivariate complex Student's $t$-distribution  
Keyword(4) auxiliary function method  
Keyword(5) multiplicative update rule  
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1st Author's Name Yuki Kubo  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Norihiro Takamune  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Daichi Kitamura  
3rd Author's Affiliation National Institute of Technology, Kagawa College (Kagawa NCIT)
4th Author's Name Hiroshi Saruwatari  
4th Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2019-03-14 15:40:00 
Presentation Time 25 minutes 
Registration for EA 
Paper # EA2018-128, SIP2018-134, SP2018-90 
Volume (vol) vol.118 
Number (no) no.495(EA), no.496(SIP), no.497(SP) 
Page pp.173-178 
#Pages
Date of Issue 2019-03-07 (EA, SIP, SP) 


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