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Paper Abstract and Keywords
Presentation 2010-07-23 09:25
Speech recognition by using word graph combination under various noise conditions
Shunsuke Kuramata, Masaharu Kato, Tetsuo Kosaka (Yamagata Univ.) SP2010-41
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a new word graph combination (WGC) approach for speech recognition under various noise conditions. Specifically, we developed a WGC technique in which both continuous-mixture hidden Markov models (CMHMMs) and discrete-mixture hidden Markov models (DMHMMs) are being used as acoustic models. It has been previously verified that a DMHMM-based system can ensure significant improvements in the speech recognition performance under impulsive noise conditions. We also showed that the CMHMM-based system indicated better performance in environmental noise conditions at high SNR. Thus, the CMHMM and the DMHMM exhibit different error trends. On the grounds of the above mentioned findings, we adopted a system combination approach in which both a DMHMM and a CMHMM are used. In the speech recognition experiments we performed, the proposed system showed better performance than the ROVER-based system or the baseline system. In particular, this new system showed comparatively higher performance under mixed noise conditions.
Keyword (in Japanese) (See Japanese page) 
(in English) LVCSR / noise / word graph combination / continuous-mixture HMM / discrete-mixture HMM / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 143, SP2010-41, pp. 37-42, July 2010.
Paper # SP2010-41 
Date of Issue 2010-07-15 (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)
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Conference Information
Committee SP  
Conference Date 2010-07-22 - 2010-07-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Ryokusui-tei (Sendai) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Recognition, Understanding, Dialogue, etc.(Prallelized with SIG-SLP) 
Paper Information
Registration To SP 
Conference Code 2010-07-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Speech recognition by using word graph combination under various noise conditions 
Sub Title (in English)  
Keyword(1) LVCSR  
Keyword(2) noise  
Keyword(3) word graph combination  
Keyword(4) continuous-mixture HMM  
Keyword(5) discrete-mixture HMM  
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Keyword(7)  
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1st Author's Name Shunsuke Kuramata  
1st Author's Affiliation Yamagata University (Yamagata Univ.)
2nd Author's Name Masaharu Kato  
2nd Author's Affiliation Yamagata University (Yamagata Univ.)
3rd Author's Name Tetsuo Kosaka  
3rd Author's Affiliation Yamagata University (Yamagata Univ.)
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Speaker Author-1 
Date Time 2010-07-23 09:25:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2010-41 
Volume (vol) vol.110 
Number (no) no.143 
Page pp.37-42 
#Pages 6 
Date of Issue 2010-07-15 (SP) 

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