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Paper Abstract and Keywords
Presentation 2020-03-02 13:00
The Effectiveness of Additional Context in DNN-based Spontaneous Speech Synthesis
Yuki Yamashita, Tomoki Koriyama, Yuki Saito, Shinnosuke Takamichi (UTokyo), Yusuke Ijima, Ryo Masumura (NTT), Hiroshi Saruwatari (UTokyo) EA2019-112 SIP2019-114 SP2019-61
Abstract (in Japanese) (See Japanese page) 
(in English) In DNN-based speech synthesis, contexts, which are input features of DNN, can be used not only for the representation of linguistic information but also for that of para- and non- linguistic information. Although spontaneous speech synthesis requires the use of various contexts to express the diversity of prosody in spontaneous speech, it is not clear what features are important. In this study, we utilize the rich tags annotated in Corpus of Spontaneous Japanese (CSJ), and use them as the extended contexts. Experimental evaluation results show that both frequently- and infrequently- observed tags are effective for synthesizing spontaneous speech.
Keyword (in Japanese) (See Japanese page) 
(in English) speech synthesis / context / spontaneous speech / annotation / deep neural network / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 441, SP2019-61, pp. 65-70, March 2020.
Paper # SP2019-61 
Date of Issue 2020-02-24 (EA, SIP, 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 EA2019-112 SIP2019-114 SP2019-61

Conference Information
Committee SP EA SIP  
Conference Date 2020-03-02 - 2020-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Industry Support Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2020-03-SP-EA-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The Effectiveness of Additional Context in DNN-based Spontaneous Speech Synthesis 
Sub Title (in English)  
Keyword(1) speech synthesis  
Keyword(2) context  
Keyword(3) spontaneous speech  
Keyword(4) annotation  
Keyword(5) deep neural network  
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1st Author's Name Yuki Yamashita  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Tomoki Koriyama  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Yuki Saito  
3rd Author's Affiliation The University of Tokyo (UTokyo)
4th Author's Name Shinnosuke Takamichi  
4th Author's Affiliation The University of Tokyo (UTokyo)
5th Author's Name Yusuke Ijima  
5th Author's Affiliation NTT Media Intelligence Laboratories (NTT)
6th Author's Name Ryo Masumura  
6th Author's Affiliation NTT Media Intelligence Laboratories (NTT)
7th Author's Name Hiroshi Saruwatari  
7th Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2020-03-02 13:00:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # EA2019-112, SIP2019-114, SP2019-61 
Volume (vol) vol.119 
Number (no) no.439(EA), no.440(SIP), no.441(SP) 
Page pp.65-70 
#Pages
Date of Issue 2020-02-24 (EA, SIP, SP) 


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