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Paper Abstract and Keywords
Presentation 2008-05-29 15:50
Acceleration of Higher-Order ICA Using Lerning Period Detection Based on Closed-Form Second-Order ICA and Kurtosis
Yuuki Fujihara, Yu Takahashi, Shigeki Miyabe, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Akira Tanaka (Hokkaido Univ) EA2008-15 SIP2008-24
Abstract (in Japanese) (See Japanese page) 
(in English) A hands-free system with conventional independent component analysis (ICA) should update the separation filter constantly to follow the hourly environment change. In an actual environment, however, there exists a time period when the user is absent and only noises arise. If we continuously conduct the separation-filter updating in such a period via the same manner when target speech exists, ICA often yields an improper separation filter and performance degradation of the hands-free system. This study proposes a novel algorithm of kurtosis-based voice activity detection (VAD) for an appropriate ICA optimization. In the proposed algorithm, first, closed-form 2nd-order ICA (SO-ICA) is performed for providing the roughly-separated signals, and based on the kurtosis of the roughly-separated signal, VAD is processed. Next, when the current time period is voiced block, higher-order ICA's re-optimization is applied using the previously obtained SO-ICA's solution as the initial filter; this results in a fast and high convergence. In this paper, we reveal the effectiveness of the proposed method by performing a simulation experiment for blind spatial subtraction array with the proposed method under heavily noisy condition.
Keyword (in Japanese) (See Japanese page) 
(in English) Independent component analysis / blind source separation / voice activity detection / closed-form solution / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 68, EA2008-15, pp. 53-58, May 2008.
Paper # EA2008-15 
Date of Issue 2008-05-22 (EA, SIP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 SIP EA  
Conference Date 2008-05-29 - 2008-05-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Kansai Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EA 
Conference Code 2008-05-SIP-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acceleration of Higher-Order ICA Using Lerning Period Detection Based on Closed-Form Second-Order ICA and Kurtosis 
Sub Title (in English)  
Keyword(1) Independent component analysis  
Keyword(2) blind source separation  
Keyword(3) voice activity detection  
Keyword(4) closed-form solution  
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1st Author's Name Yuuki Fujihara  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Yu Takahashi  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Shigeki Miyabe  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
4th Author's Name Hiroshi Saruwatari  
4th Author's Affiliation Nara Institute of Science and Technology (NAIST)
5th Author's Name Kiyohiro Shikano  
5th Author's Affiliation Nara Institute of Science and Technology (NAIST)
6th Author's Name Akira Tanaka  
6th Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University (Hokkaido Univ)
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Speaker Author-1 
Date Time 2008-05-29 15:50:00 
Presentation Time 25 minutes 
Registration for EA 
Paper # EA2008-15, SIP2008-24 
Volume (vol) vol.108 
Number (no) no.68(EA), no.70(SIP) 
Page pp.53-58 
#Pages
Date of Issue 2008-05-22 (EA, SIP) 


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