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. |
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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) |
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Keyword(1) |
laughter |
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spontaneous speech corpus |
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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 |
6 |
Date of Issue |
2017-12-14 (SP) |