Paper Abstract and Keywords |
Presentation |
2020-03-03 09:00
Cross-Lingual Voice Conversion using Cyclic Variational Auto-encoder Hikaru Nakatani, Patrick Lumban Tobing, Kazuya Takeda, Tomoki Toda (Nagoya Univ.) EA2019-139 SIP2019-141 SP2019-88 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this report, we present a novel cross-lingual voice conversion (VC) method based on cyclic variational auto-encoder (CycleVAE). Cross-lingual VC is a technique to perform VC between source and target speakers who speak different languages. To use a VC method based on parallel learning, it is necessary to prepare training data consisting of accented speeches forcibly uttered by the source or the target speaker based on their mother tongue’s pronunciation systems. On the other hand, to use a VC method based on non-parallel learning, both the source and the target speakers' natural speech data in different languages are available. In that case, however, it is required to handle not only a time-alignment issue but also a language mismatch issue between the source and target speakers. To address these issues, we apply CycleVAE to cross-lingual VC as a more sophisticated non-parallel VC method than a traditional variational auto-encoder (VAE)-based method. From the experimental results of the cross-lingual VC from a native English speaker to a native Japanese speaker, it has been verified that the proposed method based on CycleVAE achieves higher naturalness than a parallel VC method using accented speech data. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
voice conversion / cross-lingual / non-parallel / cyclic variational auto-encoder / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 441, SP2019-88, pp. 219-224, March 2020. |
Paper # |
SP2019-88 |
Date of Issue |
2020-02-24 (EA, SIP, 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) |
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EA2019-139 SIP2019-141 SP2019-88 |
Conference Information |
Committee |
SP EA SIP |
Conference Date |
2020-03-02 - 2020-03-03 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Okinawa Industry Support Center |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
SP |
Conference Code |
2020-03-SP-EA-SIP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Cross-Lingual Voice Conversion using Cyclic Variational Auto-encoder |
Sub Title (in English) |
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voice conversion |
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cross-lingual |
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non-parallel |
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cyclic variational auto-encoder |
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1st Author's Name |
Hikaru Nakatani |
1st Author's Affiliation |
Nagoya University (Nagoya Univ.) |
2nd Author's Name |
Patrick Lumban Tobing |
2nd Author's Affiliation |
Nagoya University (Nagoya Univ.) |
3rd Author's Name |
Kazuya Takeda |
3rd Author's Affiliation |
Nagoya University (Nagoya Univ.) |
4th Author's Name |
Tomoki Toda |
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Nagoya University (Nagoya Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-03-03 09:00:00 |
Presentation Time |
90 minutes |
Registration for |
SP |
Paper # |
EA2019-139, SIP2019-141, SP2019-88 |
Volume (vol) |
vol.119 |
Number (no) |
no.439(EA), no.440(SIP), no.441(SP) |
Page |
pp.219-224 |
#Pages |
6 |
Date of Issue |
2020-02-24 (EA, SIP, SP) |
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