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Paper Abstract and Keywords
Presentation 2008-03-20 15:15
[Poster Presentation] Improvement of robustness using selective sound segregation for automatic speech recognition systems in noisy environments
Atsushi Haniu, Masashi Unoki, Masato Akagi (JAIST) SP2007-196
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes the concept of our novel robust speech recognition method based on the selective sound segregation model, and demonstrates that the proposed method can play an effective role to improve robustness of automatic speech recognition (ASR) systems in various noisy environments. Almost all ASR systems for noise environments attempt to transform an input sound into a clean speech or reference patterns into ones adapted for noises using a noise model, and calculate similarity or dissimilarity between an input sound and reference patterns. In our proposed method, the existing probability of a target speech in an input sound is employed as a measure of recognition. The existing probability of a target speech is calculated by validity of the selective sound segregation model without any noise model. An ASR system employing our proposed method was implemented. To evaluate our proposed method, Japanese digit recognitions in various noisy environments were carried out using traditional ASR systems and the proposed one. The results show that the proposed method is more robust than other methods in experimental conditions in SNR = 0 dB. These indicate the proposed method can play an effective role to improve robustness of the ASR systems.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech recognition / Noisy environment / Improving robustness / Bregman’s regularities / Selective sound segregation / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 551, SP2007-196, pp. 57-62, March 2008.
Paper # SP2007-196 
Date of Issue 2008-03-13 (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)
Download PDF SP2007-196

Conference Information
Committee SP  
Conference Date 2008-03-20 - 2008-03-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) International Workshop (Mar 20), Speech Production, Speech Perception, Hearing and Speech, etc. (Mar 21) 
Paper Information
Registration To SP 
Conference Code 2008-03-SP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of robustness using selective sound segregation for automatic speech recognition systems in noisy environments 
Sub Title (in English)  
Keyword(1) Speech recognition  
Keyword(2) Noisy environment  
Keyword(3) Improving robustness  
Keyword(4) Bregman’s regularities  
Keyword(5) Selective sound segregation  
Keyword(6)  
Keyword(7)  
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1st Author's Name Atsushi Haniu  
1st Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
2nd Author's Name Masashi Unoki  
2nd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
3rd Author's Name Masato Akagi  
3rd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
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Speaker Author-1 
Date Time 2008-03-20 15:15:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # SP2007-196 
Volume (vol) vol.107 
Number (no) no.551 
Page pp.57-62 
#Pages 6 
Date of Issue 2008-03-13 (SP) 

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