Paper Abstract and Keywords |
Presentation |
2021-12-03 10:30
An approach to voice conversion for manipulating emotion dimensions Keita Mukada, Hiroki Mori (Utsunomiya Univ.) NLC2021-25 SP2021-46 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We propose an emotional voice conversion method based on the emotion dimensions. Conventional emotional voice conversion assumes a dataset that consists of disjoint subsets of categorical emotion. However, it is impossible to divide the dataset into the source domain and the target domain when adopting the emotion dimensions. In this paper, we propose a method of constructing an emotional voice conversion model by the sampling of the difference to the target emotion over the dimensional space of emotion. The model is based on the competitive learning of the Generator that performs the voice conversion, and the Discriminator that assesses the genuineness of the converted speech. The Generator receives the speech features as well as the difference of emotion dimensions to the target emotional states. The Discriminator receives the speech features as well as the emotion dimensions of the speech, to check whether the emotion is being expressed by the input speech. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Voice conversion / Emotion dimensions / GAN / Spontaneous speech / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 282, SP2021-46, pp. 39-41, Dec. 2021. |
Paper # |
SP2021-46 |
Date of Issue |
2021-11-24 (NLC, SP) |
ISSN |
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) |
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NLC2021-25 SP2021-46 |
Conference Information |
Committee |
NLC IPSJ-NL SP IPSJ-SLP |
Conference Date |
2021-12-01 - 2021-12-03 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
SP |
Conference Code |
2021-12-NLC-NL-SP-SLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
An approach to voice conversion for manipulating emotion dimensions |
Sub Title (in English) |
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Voice conversion |
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Emotion dimensions |
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GAN |
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Spontaneous speech |
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1st Author's Name |
Keita Mukada |
1st Author's Affiliation |
Utsunomiya University (Utsunomiya Univ.) |
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Hiroki Mori |
2nd Author's Affiliation |
Utsunomiya University (Utsunomiya Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-12-03 10:30:00 |
Presentation Time |
30 minutes |
Registration for |
SP |
Paper # |
NLC2021-25, SP2021-46 |
Volume (vol) |
vol.121 |
Number (no) |
no.281(NLC), no.282(SP) |
Page |
pp.39-41 |
#Pages |
3 |
Date of Issue |
2021-11-24 (NLC, SP) |
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