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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)  
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
Date of Issue 2017-01-14 (SP) 


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