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Paper Abstract and Keywords
Presentation 2011-03-10 11:10
Simultaneous Optimization of Context Clustering and GMM for Offline Handwritten Word Recognition Using HMM
Tomoyuki Hamamura (Toshiba/Univ. of Tokyo), Bunpei Irie (Toshiba), Takuya Nishimoto, Nobutaka Ono, Shigeki Sagayama (Univ. of Tokyo) PRMU2010-244
Abstract (in Japanese) (See Japanese page) 
(in English) Context-dependent HMM is commonly used in speech recognition. The model can be realized by two ways: context clustering or tied-mixuture. In speech recognition, the former is reported to be more efficient. However, there is some difficulty in applying context clustering to handwritten word recognition, since the distribution of each character is typically a mixture of some different distributions, such as block-printed, cursive, etc. To deal with this problem, a method for concurrent optimization of context clustering and Gaussian Mixture Model (GMM) is proposed in this paper. Optimization of context clustering by EM algorithm is described first, followed by its expansion to concurrent optimization of context clustering and GMM. The recognition rate of the proposed method is higher than the conventional one which exploits tied-mixture with equivalent computational cost. Experimental results showed 24.2% error reduction on CEDAR database, compared with the conventional tied-mixture based method.
Keyword (in Japanese) (See Japanese page) 
(in English) Handwritten word recognition / Context-dependent HMM / Context clustering / GMM / EM algorithm / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 467, PRMU2010-244, pp. 43-48, March 2011.
Paper # PRMU2010-244 
Date of Issue 2011-03-03 (PRMU) 
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 PRMU  
Conference Date 2011-03-10 - 2011-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2011-03-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Simultaneous Optimization of Context Clustering and GMM for Offline Handwritten Word Recognition Using HMM 
Sub Title (in English)  
Keyword(1) Handwritten word recognition  
Keyword(2) Context-dependent HMM  
Keyword(3) Context clustering  
Keyword(4) GMM  
Keyword(5) EM algorithm  
1st Author's Name Tomoyuki Hamamura  
1st Author's Affiliation Toshiba Corporation/The University of Tokyo (Toshiba/Univ. of Tokyo)
2nd Author's Name Bunpei Irie  
2nd Author's Affiliation Toshiba Corporation (Toshiba)
3rd Author's Name Takuya Nishimoto  
3rd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
4th Author's Name Nobutaka Ono  
4th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
5th Author's Name Shigeki Sagayama  
5th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
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Date Time 2011-03-10 11:10:00 
Presentation Time 30 
Registration for PRMU 
Paper # IEICE-PRMU2010-244 
Volume (vol) IEICE-110 
Number (no) no.467 
Page pp.43-48 
#Pages IEICE-6 
Date of Issue IEICE-PRMU-2011-03-03 

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