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Paper Abstract and Keywords
Presentation 2008-03-20 15:15
[Poster Presentation] Robust Distant Speech Recognition by Combining Variable-term spectrum Based Position-dependent CMN with Conventional CMN
Longbiao Wang, Seiichi Nakagawa (Toyohashi Univ. of Tech.), Norihide Kitaoka (Nagoya Univ.) SP2007-197
Abstract (in Japanese) (See Japanese page) 
(in English) In a distant-talking environment, the duration of channel impulse response is longer than the short-term spectral analysis window. Therefore, the conventional short-term spectrum based Cepstral Mean Normalization (CMN) is not effective under these conditions. In this paper, we propose a robust distant speech recognition method by combining a short-term spectrum based CMN with a long-term one. We assume that a static speech segment (such as a vowel, for example) affected by reverberation can be modeled by a long-term cepstral analysis. Thus, the effect of long reverberation on a static speech segment may be compensated by the long-term spectrum based CMN. In this paper, the concept of combining short-term and long-term spectrum based CMN is extended to an environmentally robust speech recognition method based on Position-Dependent CMN (PDCMN). We call this Variable Term spectrum based PDCMN (VT-PDCMN). Since PDCMN/VT-PDCMN cannot normalize speaker variations, we also combine PDCMN/VT-PDCMN with conventional CMN in this study. We conducted the experiments based on our proposed method using limited vocabulary (100 words) distant-talking isolated word recognition in a real environment. The proposed method achieved a relative error reduction rate of 60.9% over the conventional short-term spectrum based CMN and 30.6% over the short-term spectrum based PDCMN.
Keyword (in Japanese) (See Japanese page) 
(in English) Robust speech recognition / distant-talking environments / dereverberation / position-dependent CMN / conventional CMN / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 551, SP2007-197, pp. 63-68, March 2008.
Paper # SP2007-197 
Date of Issue 2008-03-13 (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 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) Robust Distant Speech Recognition by Combining Variable-term spectrum Based Position-dependent CMN with Conventional CMN 
Sub Title (in English)  
Keyword(1) Robust speech recognition  
Keyword(2) distant-talking environments  
Keyword(3) dereverberation  
Keyword(4) position-dependent CMN  
Keyword(5) conventional CMN  
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1st Author's Name Longbiao Wang  
1st Author's Affiliation Toyohashi University of Technology (Toyohashi Univ. of Tech.)
2nd Author's Name Seiichi Nakagawa  
2nd Author's Affiliation Toyohashi University of Technology (Toyohashi Univ. of Tech.)
3rd Author's Name Norihide Kitaoka  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2008-03-20 15:15:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # SP2007-197 
Volume (vol) vol.107 
Number (no) no.551 
Page pp.63-68 
#Pages
Date of Issue 2008-03-13 (SP) 


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