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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SP2012-124 |
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) |
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Keyword(1) |
Multi-Modal Voice Activity Detection |
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GA-based Informative Feature |
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Hidden Markov Model |
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Support Vector Machine |
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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 |
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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 |
2 |
Date of Issue |
2013-02-21 (SP) |
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