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Paper Abstract and Keywords
Presentation 2008-12-10 16:10
Tying covariance parameters for HMM-based speech synthesis
Keiichiro Oura, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Inusitute of Technology) NLC2008-60 SP2008-115
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we proposed a tying covariance technique in hidden Markov model (HMM) basedspeech
synthesis system. In recent years, context-dependent model are used for training high quality model in hidden
Markov model (HMM) based speech synthesis system. However, the use of context-dependent models results in too
many free-parameters in a system, hence it is di±cult to estimate the model which is statistically reliable. This is
a fatal problem for development of embedded devices (mobile phone, PDA, etc...) especially. Therefore, variaous
parameter clustering techniques have been proposed. The use of desicion tree based context-clustering approach is a
good solution to this problem. The splitting procedure of the decision tree provides a way of keeping the balance of
model complexity and robustness. Furthermore, by incorporating phonetic knowledge into questions, it can assign
unseen context-dependent models to the leaf node of decision trees. In this paper, a new approach is proposed by
tying all covariances. In subjective experimental results, proposed technique archived higher MOS score and smaller
number of parameters than conditional technique.
Keyword (in Japanese) (See Japanese page) 
(in English) Hidden Markov Model / Speech Synthesis / Decision Tree / Context-Clustering / MDL Criterion / Embedded Device / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 338, SP2008-115, pp. 215-220, Dec. 2008.
Paper # SP2008-115 
Date of Issue 2008-12-02 (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 NLC2008-60 SP2008-115

Conference Information
Committee SP NLC  
Conference Date 2008-12-09 - 2008-12-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2008-12-SP-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Tying covariance parameters for HMM-based speech synthesis 
Sub Title (in English)  
Keyword(1) Hidden Markov Model  
Keyword(2) Speech Synthesis  
Keyword(3) Decision Tree  
Keyword(4) Context-Clustering  
Keyword(5) MDL Criterion  
Keyword(6) Embedded Device  
Keyword(7)  
Keyword(8)  
1st Author's Name Keiichiro Oura  
1st Author's Affiliation Nagoya Inusitute of Technology (Nagoya Inusitute of Technology)
2nd Author's Name Heiga Zen  
2nd Author's Affiliation Nagoya Inusitute of Technology (Nagoya Inusitute of Technology)
3rd Author's Name Yoshihiko Nankaku  
3rd Author's Affiliation Nagoya Inusitute of Technology (Nagoya Inusitute of Technology)
4th Author's Name Akinobu Lee  
4th Author's Affiliation Nagoya Inusitute of Technology (Nagoya Inusitute of Technology)
5th Author's Name Keiichi Tokuda  
5th Author's Affiliation Nagoya Inusitute of Technology (Nagoya Inusitute of Technology)
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Speaker Author-1 
Date Time 2008-12-10 16:10:00 
Presentation Time 110 minutes 
Registration for SP 
Paper # NLC2008-60, SP2008-115 
Volume (vol) vol.108 
Number (no) no.337(NLC), no.338(SP) 
Page pp.215-220 
#Pages 6 
Date of Issue 2008-12-02 (NLC, SP) 

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