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Paper Abstract and Keywords
Presentation 2016-01-14 10:30
Performance evaluation of CRF/HMM-based automatic accent labeling for speech synthesis
Rina Mashiko, Tomoki Koriyama, Takao Kobayashi (Tokyo Tech) SP2015-85
Abstract (in Japanese) (See Japanese page) 
(in English) We have proposed an accent type and phrase boundary estimation technique using acoustic and language models represented by HMM and CRF, respectively.
It has been shown that naturalness of synthetic speech generated using HMM-based speech synthesis with the accent labels obtained by the proposed technique approaches that with manually annotated accent labels.
In this paper, we investigate an optimal choice of weighting factor that determines the balance of acoustic and language models, and examine the effect of using speaker adaptation in the acoustic model training.
Then we give a way of obtaining a better acoustic model for accent labeling that leads to more natural sounding synthetic speech.
As a result of objective and subjective evaluation, we show that naturalness of synthetic speech can be improved by determining the weighting factor appropriately.
Moreover, in the choice of the optimal weighting factor, it is shown that the use of a small amount of speech data of the target speaker would provide a better result.
Keyword (in Japanese) (See Japanese page) 
(in English) accent / speech synthesis / CRF / HMM / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 392, SP2015-85, pp. 1-6, Jan. 2016.
Paper # SP2015-85 
Date of Issue 2016-01-07 (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 SP2015-85

Conference Information
Committee SP  
Conference Date 2016-01-14 - 2016-01-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Sunpian Kawasaki 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Synthesis, Generation, Prosody, etc. 
Paper Information
Registration To SP 
Conference Code 2016-01-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance evaluation of CRF/HMM-based automatic accent labeling for speech synthesis 
Sub Title (in English)  
Keyword(1) accent  
Keyword(2) speech synthesis  
Keyword(3) CRF  
Keyword(4) HMM  
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1st Author's Name Rina Mashiko  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Tomoki Koriyama  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
3rd Author's Name Takao Kobayashi  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Speaker Author-1 
Date Time 2016-01-14 10:30:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2015-85 
Volume (vol) vol.115 
Number (no) no.392 
Page pp.1-6 
#Pages 6 
Date of Issue 2016-01-07 (SP) 

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