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Paper Abstract and Keywords
Presentation
Acoustic Modeling Based on Model Structure Annealing for Speech Recognition
Sayaka Shiota, Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nitech) SP2007-35
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a joint optimization technique of phonetic decision trees and state sequences for HMM-based speech recognition. In context-dependent models (i.e., triphone HMMs), the decision tree based context clustering is applied to extract an optimal parameter tying structure given HMM state sequences. On the other hand, the DAEM(Deterministic Annealing Expectation Maximization) algorithm has been proposed to estimate optimal state sequences in the training of HMMs.
However, these techniques optimize phonetic decision trees and HMM state sequences independently with keeping the other fixed. To overcome these problems, we propose model structure annealing in which the DAEM algorithm is applied to optimize a probabilistic model including the multiple decision trees as a hidden variable.
Keyword (in Japanese) (See Japanese page) 
(in English) Continuous speech recognition / Acoustic modeling / Context clustering / Phonetic decision tree / Deterministic annealing / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 165, SP2007-35, pp. 67-72, July 2007.
Paper # SP2007-35 
Date of Issue  
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 SP2007-35

Conference Information
Committee SP  
Conference Date 2007-07-26 - 2007-07-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Toyama Prefectural University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech Production, Speech Perception, Hearing and Speech, etc. 
Paper Information
Registration To SP 
Conference Code 2007-07-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acoustic Modeling Based on Model Structure Annealing for Speech Recognition 
Sub Title (in English)  
Keyword(1) Continuous speech recognition  
Keyword(2) Acoustic modeling  
Keyword(3) Context clustering  
Keyword(4) Phonetic decision tree  
Keyword(5) Deterministic annealing  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Sayaka Shiota  
1st Author's Affiliation Nagoya Institute of Technology (Nitech)
2nd Author's Name Kei Hashimoto  
2nd Author's Affiliation Nagoya Institute of Technology (Nitech)
3rd Author's Name Heiga Zen  
3rd Author's Affiliation Nagoya Institute of Technology (Nitech)
4th Author's Name Yoshihiko Nankaku  
4th Author's Affiliation Nagoya Institute of Technology (Nitech)
5th Author's Name Akinobu Lee  
5th Author's Affiliation Nagoya Institute of Technology (Nitech)
6th Author's Name Keiichi Tokuda  
6th Author's Affiliation Nagoya Institute of Technology (Nitech)
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Date Time  
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Registration for SP 
Paper # SP2007-35 
Volume (vol) vol.107 
Number (no) no.165 
Page pp.67-72 
#Pages 6 
Date of Issue  

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