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Paper Abstract and Keywords
Presentation 2016-12-20 15:10
[Poster Presentation] F0 control by modeling differential features in DNN-based speech synthesis
Shuhei Yamada, Takashi Nose, Akinori Ito (Tohoku Univ.) SP2016-55
Abstract (in Japanese) (See Japanese page) 
(in English) We have been developing ``tailor-made speech synthesis,'' a framework which enables users to modify synthetic speech naturally and intuitively. Previously, we proposed an F0 control technique by the F0 context in DNN-based speech synthesis. F0 context represents relative log F0 of training data at the segment (e.g. mora or accent phrase) level. The technique allows users to control relatively the log F0 of synthetic speech by the context. However, when users synthesize speech without F0 control, there is a problem that the naturalness of the synthetic speech degrades compared to that with a standard DNN-based synthesis.
In this paper, we use another DNN that models the relationship between context including F0 context and differential features. Differential features represent the difference between acoustic features of the natural speech and the synthetic speech.
The experiments showed that when we created F0 context appropriately in proposed method, reproductivity of log F0 improved compared to the conventional method. In this paper, we show that proposed technique enables to synthesize speech more naturally than standard DNN-based speech synthesis and to control F0 flexibly and naturally at the segment level.
Keyword (in Japanese) (See Japanese page) 
(in English) DNN-based speech synthesis / Model training / F0 control / F0 context / Differential feature / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 378, SP2016-55, pp. 37-42, Dec. 2016.
Paper # SP2016-55 
Date of Issue 2016-12-13 (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 SP2016-55

Conference Information
Committee SP IPSJ-SLP NLC IPSJ-NL  
Conference Date 2016-12-20 - 2016-12-22 
Place (in Japanese) (See Japanese page) 
Place (in English) NTT Musashino R&D 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 18th Spoken Language Symposium & The Third Natural Language Processing Symposium 
Paper Information
Registration To SP 
Conference Code 2016-12-SP-SLP-NLC-NL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) F0 control by modeling differential features in DNN-based speech synthesis 
Sub Title (in English)  
Keyword(1) DNN-based speech synthesis  
Keyword(2) Model training  
Keyword(3) F0 control  
Keyword(4) F0 context  
Keyword(5) Differential feature  
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1st Author's Name Shuhei Yamada  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Takashi Nose  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Akinori Ito  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2016-12-20 15:10:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # SP2016-55 
Volume (vol) vol.116 
Number (no) no.378 
Page pp.37-42 
#Pages 6 
Date of Issue 2016-12-13 (SP) 

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