Paper Abstract and Keywords |
Presentation |
2017-01-21 14:00
[Invited Talk]
Deep learning in voice conversion Daisuke Saito (UTokyo) SP2016-72 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, deep learning techniques in voice conversion studies are overviewed. Recently, deep learning techniques which use neural networks with deep structure have been widely used, and they have achieved a great success in many research areas not only speech recognition. The essence of voice conversion tasks is how to model relationship between input and output. To capture this relationship, the deep learning techniques have been utilized. In voice conversion studies, systems should be constructed based on limited amount of training data. In such a condition, how to utilize deep learning techniques correctly is a technical challenge. This paper describes recent trends of voice conversion based on deep learning. In addition, some approaches which utilize training data from multiple speakers are introduced. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
voice conversion / deep learning / / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 414, SP2016-72, pp. 47-52, Jan. 2017. |
Paper # |
SP2016-72 |
Date of Issue |
2017-01-14 (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) |
Download PDF |
SP2016-72 |
Conference Information |
Committee |
SP |
Conference Date |
2017-01-21 - 2017-01-21 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
The University of Tokyo |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Synthesis, Generation, Prosody, etc. |
Paper Information |
Registration To |
SP |
Conference Code |
2017-01-SP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Deep learning in voice conversion |
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voice conversion |
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deep learning |
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Daisuke Saito |
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The University of Tokyo (UTokyo) |
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Speaker |
Author-1 |
Date Time |
2017-01-21 14:00:00 |
Presentation Time |
60 minutes |
Registration for |
SP |
Paper # |
SP2016-72 |
Volume (vol) |
vol.116 |
Number (no) |
no.414 |
Page |
pp.47-52 |
#Pages |
6 |
Date of Issue |
2017-01-14 (SP) |
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