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Paper Abstract and Keywords
Presentation 2012-03-09 16:15
Improvement of CRF-Based Accent Sandhi Prediction Using The Features Derived from Accent Rules
Shumpei Kobayashi, Shinya Shimizu, Nobuaki Minematsu, Keikichi Hirose (Tokyo Univ.), Hiroko Hirano (Huaqiao Foreign Languages Institute) SP2011-172
Abstract (in Japanese) (See Japanese page) 
(in English) When developing Japanese text-to-speech (TTS) systems, algorithms to accurately predict accent types of each constituent phrase is essential for better output speech quality. In our previous studies on the accent type estimation, a CRF-based method was realized. Although this method outperformed the conventional rule-based method, the estimation accuracy of particular phrases such as those including numerals or loanwords was still not sufficient. In this paper, we newly added the features used in the rule-based estimation of these phrases as CRF features. The experimental result for JNAS corpus showed improvements in accent type estimation. As an example of possible applications of the developed method other than speech synthesis, we constructed an accent type prediction module for CALL systems. This module can automatically generate accent dictionaries of conjugation words for any Japanese texts.
Keyword (in Japanese) (See Japanese page) 
(in English) Japanese TTS system / Accent sandhi / CRF / Numeral phrase / Phrase with loanwords / Accent dictionary / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 471, SP2011-172, pp. 95-100, March 2012.
Paper # SP2011-172 
Date of Issue 2012-03-01 (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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF SP2011-172

Conference Information
Committee SP  
Conference Date 2012-03-08 - 2012-03-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Riken Brain Science Institute 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2012-03-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of CRF-Based Accent Sandhi Prediction Using The Features Derived from Accent Rules 
Sub Title (in English)  
Keyword(1) Japanese TTS system  
Keyword(2) Accent sandhi  
Keyword(3) CRF  
Keyword(4) Numeral phrase  
Keyword(5) Phrase with loanwords  
Keyword(6) Accent dictionary  
Keyword(7)  
Keyword(8)  
1st Author's Name Shumpei Kobayashi  
1st Author's Affiliation The University of Tokyo (Tokyo Univ.)
2nd Author's Name Shinya Shimizu  
2nd Author's Affiliation The University of Tokyo (Tokyo Univ.)
3rd Author's Name Nobuaki Minematsu  
3rd Author's Affiliation The University of Tokyo (Tokyo Univ.)
4th Author's Name Keikichi Hirose  
4th Author's Affiliation The University of Tokyo (Tokyo Univ.)
5th Author's Name Hiroko Hirano  
5th Author's Affiliation Jilin Huaqiao Foreign Languages Institute (Huaqiao Foreign Languages Institute)
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Speaker Author-3 
Date Time 2012-03-09 16:15:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # SP2011-172 
Volume (vol) vol.111 
Number (no) no.471 
Page pp.95-100 
#Pages 6 
Date of Issue 2012-03-01 (SP) 

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