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Paper Abstract and Keywords
Presentation 2009-07-18 09:50
Speaking Style Classification of Spontaneous Speech Using Multiple-Regression HMM
Takashi Nose, Takeshi Matsubara, Yusuke Ijima, Takao Kobayashi (Tokyo Inst. of Tech.) SP2009-46
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes speaking style classification and speech recognition for spontaneous speech based on multiple-regression HMM (MRHMM). In MRHMM, the mean vector of each probability density function is given by multiple regression of a low-dimensional vector, called style vector. Each component of the style vector corresponds to the intensity of expressivity of speaking style variation, and the type of speaking style can be classified by estimating the style vector for input speech based on an ML criterion. Moreover, in spontaneous speech recognition, acoustic models are adapted on-line by updating model parameters using the estimated style vector for each input utterance. The performance evaluation using the Corpus of Spontaneous Japanese (CSJ) shows that a high classification rate is obtained even when the amount of available training data is very limited. The effectiveness of the proposed technique is also shown by a phoneme recognition experiment.
Keyword (in Japanese) (See Japanese page) 
(in English) spontaneous speech / speaking style classification / style estimation / model adaptation / multiple-regression HMM / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 139, SP2009-46, pp. 31-36, July 2009.
Paper # SP2009-46 
Date of Issue 2009-07-10 (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 2009-07-17 - 2009-07-18 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To SP 
Conference Code 2009-07-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Speaking Style Classification of Spontaneous Speech Using Multiple-Regression HMM 
Sub Title (in English)  
Keyword(1) spontaneous speech  
Keyword(2) speaking style classification  
Keyword(3) style estimation  
Keyword(4) model adaptation  
Keyword(5) multiple-regression HMM  
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1st Author's Name Takashi Nose  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
2nd Author's Name Takeshi Matsubara  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
3rd Author's Name Yusuke Ijima  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
4th Author's Name Takao Kobayashi  
4th Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
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Speaker Author-1 
Date Time 2009-07-18 09:50:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2009-46 
Volume (vol) vol.109 
Number (no) no.139 
Page pp.31-36 
#Pages
Date of Issue 2009-07-10 (SP) 


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