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Paper Abstract and Keywords
Presentation 2018-03-19 09:00
Adaptive BSS algorithm for approximate joint diagonalization with variable epoch length
Kei Nishiyama, Shinya Saito (TUS), Kunio Oishi (TUT), Toshihiro Furukawa (TUS) EA2017-102 SIP2017-111 SP2017-85
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents an adaptive blind speech separation (BSS) technique for recovering original speech source signals from observed signals without a prior knowledge about convolutive mixing process in a time-varying environment.
Recently, approximate joint diagonalization has been applied successfully to BSS utilizing quasi-stationary source signals in time-invariant reverberant environment. It was shown that the DMDI algorithm is capable of providing a superior separation performance in long reverberant environment. In this paper, the proposed approach is an extension of the DMDI algorithm into adaptive blind signal processing. Numerical experience shows that the adaptive DMDI algorithm has a good tracking capability.
Keyword (in Japanese) (See Japanese page) 
(in English) frequency-domain adaptive blind source separation / joint diagonalization / variable epoch lengh / forgetting factor / tracking capability / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 515, EA2017-102, pp. 1-6, March 2018.
Paper # EA2017-102 
Date of Issue 2018-03-12 (EA, SIP, SP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
and
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EA2017-102 SIP2017-111 SP2017-85

Conference Information
Committee SIP EA SP MI  
Conference Date 2018-03-19 - 2018-03-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI] 
Paper Information
Registration To EA 
Conference Code 2018-03-SIP-EA-SP-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Adaptive BSS algorithm for approximate joint diagonalization with variable epoch length 
Sub Title (in English)  
Keyword(1) frequency-domain adaptive blind source separation  
Keyword(2) joint diagonalization  
Keyword(3) variable epoch lengh  
Keyword(4) forgetting factor  
Keyword(5) tracking capability  
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Keyword(8)  
1st Author's Name Kei Nishiyama  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Shinya Saito  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Kunio Oishi  
3rd Author's Affiliation Tokyo University of Technology (TUT)
4th Author's Name Toshihiro Furukawa  
4th Author's Affiliation Tokyo University of Science (TUS)
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Speaker
Date Time 2018-03-19 09:00:00 
Presentation Time 25 
Registration for EA 
Paper # IEICE-EA2017-102,IEICE-SIP2017-111,IEICE-SP2017-85 
Volume (vol) IEICE-117 
Number (no) no.515(EA), no.516(SIP), no.517(SP) 
Page pp.1-6 
#Pages IEICE-6 
Date of Issue IEICE-EA-2018-03-12,IEICE-SIP-2018-03-12,IEICE-SP-2018-03-12 


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