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Paper Abstract and Keywords
Presentation 2012-02-10 15:20
Multi-band speech recognition using confidence of blind source separation
Atsushi Ando, Hiromasa Ohashi (Nagoya Univ.), Sunao Hara (NAIST), Norihide Kitaoka, Kazuya Takeda (Nagoya Univ.) PRMU2011-234 SP2011-149
Abstract (in Japanese) (See Japanese page) 
(in English) One of the main applications of Blind Source Separation (BSS) is to improve performance of Automatic Speech Recognition (ASR) systems. However, conventional BSS algorithm has been applied only to speech signals as a pre-processing approach. In this paper, a closely coupled framework between FDICA-based BSS algorithm and speech recognition system is proposed. In the source separation step, a con dence score of the separation accuracy for each frequency bin is rst estimated. Subsequently, by employing multi-band speech recognition system, acoustic
likelihood is calculated in the Mel-scale lter bank energy using the estimated BSS con dence scores. Therefore, our proposed method can reduce ASR errors which caused by separation errors in BSS and permutation errors in ICA, as in the conventional approach. Experimental results showed that our proposed method improved word correct rate of ASR by 8.2 % and word accuracy rate by 5.7 % on average.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-band speech recognition / Blind source separation / Frequency-domain feature / Nonstationary noise / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 431, SP2011-149, pp. 219-224, Feb. 2012.
Paper # SP2011-149 
Date of Issue 2012-02-02 (PRMU, 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 PRMU2011-234 SP2011-149

Conference Information
Committee PRMU SP  
Conference Date 2012-02-09 - 2012-02-10 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2012-02-PRMU-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Multi-band speech recognition using confidence of blind source separation 
Sub Title (in English)  
Keyword(1) Multi-band speech recognition  
Keyword(2) Blind source separation  
Keyword(3) Frequency-domain feature  
Keyword(4) Nonstationary noise  
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1st Author's Name Atsushi Ando  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Hiromasa Ohashi  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Sunao Hara  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
4th Author's Name Norihide Kitaoka  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Kazuya Takeda  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2012-02-10 15:20:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # PRMU2011-234, SP2011-149 
Volume (vol) vol.111 
Number (no) no.430(PRMU), no.431(SP) 
Page pp.219-224 
#Pages 6 
Date of Issue 2012-02-02 (PRMU, SP) 

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