| Paper Abstract and Keywords |
| Presentation |
2017-01-21 11:00
[Poster Presentation]
Evaluation of DNN-Based Voice Conversion Deceiving Anti-spoofing Verification Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari (UT) SP2016-69 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper proposes a novel training algorithm for high-quality Deep Neural Network (DNN)-based voice conversion. To improve speech quality in DNN-based text-to-speech synthesis, we have proposed a training algorithm to deceive anti-spoofing verification, called adversarial DNN-based speech synthesis. The anti-spoofing is a discriminator to distinguish natural and synthetic speech. This paper extends this idea to DNN-based voice conversion, and we build the acoustic models that can deceive the anti-spoofing verification. To evaluate the proposed algorithm, we conduct evaluations using two conversion frameworks: speech feature conversion using Feed-Forward neural networks and spectral differentials estimation using highway networks from input to output, which is proposed in this paper. The evaluation results successfully demonstrate the speech-quality improvements for both frameworks. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
DNN-based voice conversion / anti-spoofing verification / adversarial DNN-based speech synthesis / highway networks / spectral differentials / over-smoothing / / |
| Reference Info. |
IEICE Tech. Rep., vol. 116, no. 414, SP2016-69, pp. 29-34, Jan. 2017. |
| Paper # |
SP2016-69 |
| 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 |
SP2016-69 |
| 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) |
Evaluation of DNN-Based Voice Conversion Deceiving Anti-spoofing Verification |
| Sub Title (in English) |
|
| Keyword(1) |
DNN-based voice conversion |
| Keyword(2) |
anti-spoofing verification |
| Keyword(3) |
adversarial DNN-based speech synthesis |
| Keyword(4) |
highway networks |
| Keyword(5) |
spectral differentials |
| Keyword(6) |
over-smoothing |
| Keyword(7) |
|
| Keyword(8) |
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| 1st Author's Name |
Yuki Saito |
| 1st Author's Affiliation |
The University of Tokyo (UT) |
| 2nd Author's Name |
Shinnosuke Takamichi |
| 2nd Author's Affiliation |
The University of Tokyo (UT) |
| 3rd Author's Name |
Hiroshi Saruwatari |
| 3rd Author's Affiliation |
The University of Tokyo (UT) |
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| Speaker |
Author-1 |
| Date Time |
2017-01-21 11:00:00 |
| Presentation Time |
60 minutes |
| Registration for |
SP |
| Paper # |
SP2016-69 |
| Volume (vol) |
vol.116 |
| Number (no) |
no.414 |
| Page |
pp.29-34 |
| #Pages |
6 |
| Date of Issue |
2017-01-14 (SP) |