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Paper Abstract and Keywords
Presentation 2013-02-28 15:00
[Poster Presentation] Comparison of classification methods for multi-modal voice activity detection
Hiroya Okuda, Satoshi Tamura, Satoru Hayamizu (Gifu Univ.) SP2012-124
Abstract (in Japanese) (See Japanese page) 
(in English) Automatic Speech Recognition (ASR) technology has been developed and used in various situations, such as car navigation systems. Voice Activity Detection(VAD) is often used as a preprocessing for ASR in noisy environments. Multi-modal VAD using lip images has also been investigated. Hidden Markov Models (HMM), Support Vector Machine (SVM) and AdaBoost have been used in VAD. In this paper we compare, investigate and discuss these classification methods and audio-visual integration in multi-modal VAD.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-Modal Voice Activity Detection / GA-based Informative Feature / Hidden Markov Model / Support Vector Machine / AdaBoost / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 450, SP2012-124, pp. 31-32, Feb. 2013.
Paper # SP2012-124 
Date of Issue 2013-02-21 (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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SP  
Conference Date 2013-02-28 - 2013-03-01 
Place (in Japanese) (See Japanese page) 
Place (in English) Daido University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) speech application systems, etc. 
Paper Information
Registration To SP 
Conference Code 2013-02-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Comparison of classification methods for multi-modal voice activity detection 
Sub Title (in English)  
Keyword(1) Multi-Modal Voice Activity Detection  
Keyword(2) GA-based Informative Feature  
Keyword(3) Hidden Markov Model  
Keyword(4) Support Vector Machine  
Keyword(5) AdaBoost  
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1st Author's Name Hiroya Okuda  
1st Author's Affiliation Gifu University (Gifu Univ.)
2nd Author's Name Satoshi Tamura  
2nd Author's Affiliation Gifu University (Gifu Univ.)
3rd Author's Name Satoru Hayamizu  
3rd Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2013-02-28 15:00:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # SP2012-124 
Volume (vol) vol.112 
Number (no) no.450 
Page pp.31-32 
#Pages
Date of Issue 2013-02-21 (SP) 


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