Paper Abstract and Keywords |
Presentation |
2013-12-19 16:00
Improvement of AF-based Voice Conversion for Arbitrary Speakers Narpendyah Wisjnu Ariwardhani (TUT), Yurie Iribe (Aichi Prefectureal Univ.), Kouichi Katsurada (TUT), Tsuneo Nitta (Waseda Univ.) SP2013-85 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we use artificial neural networks (ANNs) for articulatory feature (AF) based voice conversion. ANNs are applied to map AF to vocal tract parameter (VTP) and to convert the source speaker?s voice to the target speaker?s voice. The proposed system is not only text independent voice conversion, but can also be used for an arbitrary source speaker. This means that our approach requires no source speaker data to build the voice conversion model and hence source speaker data is only required during testing phase. The results of voice conversion were evaluated using subjective and objective measures to compare the performance of our proposed ANN-based voice conversion (VC) with the state-of-the-art Gaussian mixture model (GMM)-based VC. The experimental results show that the converted voice is intelligible and has speaker individuality of the target speaker. Furthermore, preliminary experiments are also conducted to investigate AF flexibility on cross-lingual voice conversion. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
voice conversion / neural network / articulatory feature / arbitrary speaker / cross-lingual / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 366, SP2013-85, pp. 65-70, Dec. 2013. |
Paper # |
SP2013-85 |
Date of Issue |
2013-12-12 (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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SP2013-85 |
Conference Information |
Committee |
SP IPSJ-SLP |
Conference Date |
2013-12-19 - 2013-12-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
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Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
15th Symposium on Spoken Language |
Paper Information |
Registration To |
SP |
Conference Code |
2013-12-SP-SLP |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Improvement of AF-based Voice Conversion for Arbitrary Speakers |
Sub Title (in English) |
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Keyword(1) |
voice conversion |
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neural network |
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articulatory feature |
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arbitrary speaker |
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cross-lingual |
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1st Author's Name |
Narpendyah Wisjnu Ariwardhani |
1st Author's Affiliation |
Toyohashi University of Technology (TUT) |
2nd Author's Name |
Yurie Iribe |
2nd Author's Affiliation |
Aichi Prefectural University (Aichi Prefectureal Univ.) |
3rd Author's Name |
Kouichi Katsurada |
3rd Author's Affiliation |
Toyohashi University of Technology (TUT) |
4th Author's Name |
Tsuneo Nitta |
4th Author's Affiliation |
Waseda University (Waseda Univ.) |
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Speaker |
Author-1 |
Date Time |
2013-12-19 16:00:00 |
Presentation Time |
25 minutes |
Registration for |
SP |
Paper # |
SP2013-85 |
Volume (vol) |
vol.113 |
Number (no) |
no.366 |
Page |
pp.65-70 |
#Pages |
6 |
Date of Issue |
2013-12-12 (SP) |
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