| Paper Abstract and Keywords |
| Presentation |
2017-07-27 14:30
[Invited Talk]
Synthesis, Recognition and Conversion of Various Speech Using Deep Learning and Their Applications Takashi Nose (Tohoku Univ.) SP2017-16 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper focuses on synthesis, recognition and conversion of various speech in the speech processing using deep learning whose research is rapidly accelerating in recent years, and introduces the part of the examples of research and application including our work. Specifically, first I describe the synthesis technique of speech having various individuality and emotional expressions, and tailor-made speech synthesis that enables users to flexibly control the prosody. Next, I introduce an emotional speech database "JTES" that is important for the research using emotional speech including speech synthesis, and refer to the recognition of emotional speech using JTES. I also outline the voice conversion from arbitrary speakers and the applications of deep learning to singing voice synthesis and facial animation generation. Finally, I conclude this talk with remaining issues and prospects for the future research. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
deep learning / emotional speech synthesis / tailor-made speech synthesis / emotional speech recognition / voice conversion / facial animation generation / / |
| Reference Info. |
IEICE Tech. Rep., vol. 117, no. 160, SP2017-16, pp. 3-8, July 2017. |
| Paper # |
SP2017-16 |
| Date of Issue |
2017-07-20 (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 |
SP2017-16 |
| Conference Information |
| Committee |
SP IPSJ-SLP |
| Conference Date |
2017-07-27 - 2017-07-28 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Akiu Resort Hotel Crescent |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Speech recognition and understanding, dialog system, etc. |
| Paper Information |
| Registration To |
SP |
| Conference Code |
2017-07-SP-SLP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Synthesis, Recognition and Conversion of Various Speech Using Deep Learning and Their Applications |
| Sub Title (in English) |
|
| Keyword(1) |
deep learning |
| Keyword(2) |
emotional speech synthesis |
| Keyword(3) |
tailor-made speech synthesis |
| Keyword(4) |
emotional speech recognition |
| Keyword(5) |
voice conversion |
| Keyword(6) |
facial animation generation |
| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Takashi Nose |
| 1st Author's Affiliation |
Tohoku University (Tohoku Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2017-07-27 14:30:00 |
| Presentation Time |
60 minutes |
| Registration for |
SP |
| Paper # |
SP2017-16 |
| Volume (vol) |
vol.117 |
| Number (no) |
no.160 |
| Page |
pp.3-8 |
| #Pages |
6 |
| Date of Issue |
2017-07-20 (SP) |