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Paper Abstract and Keywords
Presentation 2009-12-21 10:10
Speaker Adaptation Using Nonlinear Spectral Transformation For Speech Recognition.
Toyohiro Hayashi, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Inst. of Tech.) NLC2009-12 SP2009-76
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a speaker adaptation technique using nonlinear spectral transform based on GMMs.
One of the most popular forms of speaker adaptation is based on linear transforms, such as maximum likelihood linear regression (MLLR).
In MLLR, model parameters of HMMs are linearly transformed based on the maximum likelihood (ML) fashion by using a small amount of adaptation data.
Although multiple transform matrices are used according to the regression class information, only a single linear transform is applied to each state within a regression class.
In the proposed technique, we define a new likelihood function combining HMMs for recognition with GMMs for spectral transform and speaker adaptation based on nonlinear transform is performed in the ML fashion.
In phoneme recognition experiments, the proposed technique shows better performance than the conventional MLLR approaches.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech Recognition / Speaker Adaptation / Nonlinear Spectral Transformation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 356, SP2009-76, pp. 1-6, Dec. 2009.
Paper # SP2009-76 
Date of Issue 2009-12-14 (NLC, 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 NLC2009-12 SP2009-76

Conference Information
Committee SP NLC  
Conference Date 2009-12-21 - 2009-12-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) 11th Spoken Language Symposium (SP/NLC/SLP) 
Paper Information
Registration To SP 
Conference Code 2009-12-SP-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Speaker Adaptation Using Nonlinear Spectral Transformation For Speech Recognition. 
Sub Title (in English)  
Keyword(1) Speech Recognition  
Keyword(2) Speaker Adaptation  
Keyword(3) Nonlinear Spectral Transformation  
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1st Author's Name Toyohiro Hayashi  
1st Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
2nd Author's Name Yoshihiko Nankaku  
2nd Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
3rd Author's Name Akinobu Lee  
3rd Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
4th Author's Name Keiichi Tokuda  
4th Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
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Speaker Author-1 
Date Time 2009-12-21 10:10:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # NLC2009-12, SP2009-76 
Volume (vol) vol.109 
Number (no) no.355(NLC), no.356(SP) 
Page pp.1-6 
#Pages 6 
Date of Issue 2009-12-14 (NLC, SP) 

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