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Paper Abstract and Keywords
Presentation 2014-03-06 11:20
About the Speech Recognition of Acoustically Similar Words under the Noise Environment
Yoshiyuki Miyazaki, Yasuhito Arakane (RayTron), Yoshikazu Miyanaga (Hokkaido Univ.) SIS2013-57
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose the method which improves the speech recognition accuracy of acoustically similar words. For example when there is a different consonant in two acoustically similar words where the sequences of their vowels are same, it is difficult to recognize them correctly under noise circumstances. In our propose system, after a conventional HMM based speech recognition is applied, acoustically difference in these words is estimated and then noise robust speech recognition is again applied for their precise speech features. As a result, it is shown that the recognition accuracy can be improved under any environments.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech recognition / similar words / Noise robust / Hidden Markov model / Viterbi alignment / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 467, SIS2013-57, pp. 11-16, March 2014.
Paper # SIS2013-57 
Date of Issue 2014-02-27 (SIS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 SIS  
Conference Date 2014-03-06 - 2014-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Gran Front Osaka, Knowledge Capital C-9F, 901 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Soft Computing, etc. 
Paper Information
Registration To SIS 
Conference Code 2014-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) About the Speech Recognition of Acoustically Similar Words under the Noise Environment 
Sub Title (in English)  
Keyword(1) Speech recognition  
Keyword(2) similar words  
Keyword(3) Noise robust  
Keyword(4) Hidden Markov model  
Keyword(5) Viterbi alignment  
1st Author's Name Yoshiyuki Miyazaki  
1st Author's Affiliation RayTron,INC. (RayTron)
2nd Author's Name Yasuhito Arakane  
2nd Author's Affiliation RayTron,INC. (RayTron)
3rd Author's Name Yoshikazu Miyanaga  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Date Time 2014-03-06 11:20:00 
Presentation Time 20 
Registration for SIS 
Paper # IEICE-SIS2013-57 
Volume (vol) IEICE-113 
Number (no) no.467 
Page pp.11-16 
#Pages IEICE-6 
Date of Issue IEICE-SIS-2014-02-27 

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