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Paper Abstract and Keywords
Presentation 2014-05-25 11:30
Text-to-speech prosody synthesis based on probabilistic model for F0 contour
Kento Kadowaki, Tatsuma Ishihara, Nobukatsu Hojo (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/NTT) SP2014-28
Abstract (in Japanese) (See Japanese page) 
(in English) This paper deals with the problem of generating the fundamental frequency (F0) contour of speech from a text input for text-to-speech synthesis. We have previously introduced a statistical model describing the generating process of speech F0 contours, based on the discrete-time version of the Fujisaki model. One remarkable feature of this model is that it has allowed us to derive an efficient algorithm based on powerful statistical methods for estimating the Fujisaki-model parameters from raw F0 contours. To associate a sequence of the Fujisaki-model parameters with a text input based on statistical learning, this paper proposes extending this model to a context-dependent one. we further propose a parameter training algorithm for the present model based on a decision tree-based context clustering.
Keyword (in Japanese) (See Japanese page) 
(in English) Text-to-speech / Speech prosody generation / Fujisaki model / Hidden markov model / Context clustering / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 52, SP2014-28, pp. 309-314, May 2014.
Paper # SP2014-28 
Date of Issue 2014-05-17 (SP) 
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 SP IPSJ-MUS  
Conference Date 2014-05-24 - 2014-05-25 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To SP 
Conference Code 2014-05-SP-MUS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Text-to-speech prosody synthesis based on probabilistic model for F0 contour 
Sub Title (in English)  
Keyword(1) Text-to-speech  
Keyword(2) Speech prosody generation  
Keyword(3) Fujisaki model  
Keyword(4) Hidden markov model  
Keyword(5) Context clustering  
1st Author's Name Kento Kadowaki  
1st Author's Affiliation The University of Tokyo (Univ. of Tokyo)
2nd Author's Name Tatsuma Ishihara  
2nd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
3rd Author's Name Nobukatsu Hojo  
3rd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
4th Author's Name Hirokazu Kameoka  
4th Author's Affiliation The University of Tokyo/Nippon Telegraph and Telephone Corporation (Univ. of Tokyo/NTT)
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Speaker Author-1 
Date Time 2014-05-25 11:30:00 
Presentation Time 240 minutes 
Registration for SP 
Paper # SP2014-28 
Volume (vol) vol.114 
Number (no) no.52 
Page pp.309-314 
Date of Issue 2014-05-17 (SP) 

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