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Paper Abstract and Keywords
Presentation 2014-02-28 10:30
Evaluation of reverberant speech recognition by selecting suitable acoustic model with acoustic parameters
Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura, Yoichi Yamashita (Ritsumeikan Univ.) SP2013-108
Abstract (in Japanese) (See Japanese page) 
(in English) The reverberant speech degrades the speech recognition performance in the field of distant-talking speech. As one of approaches against the reverberation, a method has been studied by constructing the acoustic model trained with the reverberant speech. In this method, acoustic models are trained with the reverberant speech measured in some environments with different reverberation time. There is, however, a problem that the reverberation time, which is an unique value in a room, has a limitation for an improvement of speech recognition performance because speech recognition performance greatly depends on the arrangement of a speaker and a microphone. We thus proposed a new construction-and-selection method of an optimum acoustic model based on D value (ISO3382 Annex A acoustic parameters). We first constructed the acoustic models by using many impluse responses measured under the conditions with different D value. We then processed a speech recognition by selecting the optimum acoustic model which has same D value as one in target environment. In evaluation experiments, the proposed methods could improve speech recognition performance in comparison with a conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech recognition / Reverberation / Acoustic model / Acoustic parameters / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 452, SP2013-108, pp. 7-12, Feb. 2014.
Paper # SP2013-108 
Date of Issue 2014-02-21 (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 2014-02-28 - 2014-02-28 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Tokushima 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Pattern recognition for time sequence, etc. 
Paper Information
Registration To SP 
Conference Code 2014-02-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of reverberant speech recognition by selecting suitable acoustic model with acoustic parameters 
Sub Title (in English)  
Keyword(1) Speech recognition  
Keyword(2) Reverberation  
Keyword(3) Acoustic model  
Keyword(4) Acoustic parameters  
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1st Author's Name Takahiro Fukumori  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Masato Nakayama  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Takanobu Nishiura  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
4th Author's Name Yoichi Yamashita  
4th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker Author-1 
Date Time 2014-02-28 10:30:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # SP2013-108 
Volume (vol) vol.113 
Number (no) no.452 
Page pp.7-12 
#Pages 6 
Date of Issue 2014-02-21 (SP) 

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