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Paper Abstract and Keywords
Presentation 2017-12-22 14:40
Laughter synthesis considering the context of the utterance in natural conversation
Tomohiro Nagata, Hiroki Mori (Utsunomiya Univ.) SP2017-65
Abstract (in Japanese) (See Japanese page) 
(in English) Most of conventional studies on laughter synthesis do not deal with laughter in actual dialogue scene, and it became a problem that the overall naturalness of the utterance is reduce when synthesizing laughter accompaneied speech sounds.
Therefore, this study focuses on laughter in spontaneous dialogue. In order to synthesize laughter accompanied by speech sounds, the context for laughter (i.e. the laughter position in the utterance) were defined. Laughter considering the context was synthesized by the defined context and HMM-based speech synthesis framework.
To confirm the effectiveness of the defined context, we checked a naturalness of the synthesized laughter. The synthesized laughs were presented with speech sounds, and the subjects evaluated the overall naturalness of the utterance. The result of the naturalness evaluation showed that the overall naturalness of the utterance was improved by considering the context.
Keyword (in Japanese) (See Japanese page) 
(in English) laughter / spontaneous speech corpus / spontaneous speech / HMM-based speech synthesis / non-verbal / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 368, SP2017-65, pp. 93-98, Dec. 2017.
Paper # SP2017-65 
Date of Issue 2017-12-14 (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 SP2017-65

Conference Information
Committee NLC IPSJ-NL SP IPSJ-SLP  
Conference Date 2017-12-20 - 2017-12-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. Green Computing Systems Research Organization 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 4th Natural Language Processing Symposium & The 19th Spoken Language Symposium 
Paper Information
Registration To SP 
Conference Code 2017-12-NLC-NL-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Laughter synthesis considering the context of the utterance in natural conversation 
Sub Title (in English)  
Keyword(1) laughter  
Keyword(2) spontaneous speech corpus  
Keyword(3) spontaneous speech  
Keyword(4) HMM-based speech synthesis  
Keyword(5) non-verbal  
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1st Author's Name Tomohiro Nagata  
1st Author's Affiliation Utsunomiya University (Utsunomiya Univ.)
2nd Author's Name Hiroki Mori  
2nd Author's Affiliation Utsunomiya University (Utsunomiya Univ.)
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Speaker Author-1 
Date Time 2017-12-22 14:40:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2017-65 
Volume (vol) vol.117 
Number (no) no.368 
Page pp.93-98 
#Pages
Date of Issue 2017-12-14 (SP) 


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