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Paper Abstract and Keywords
Presentation 2026-03-02 15:30
[Poster Presentation] Self Voice Conversion as an Attack against Neural Audio Watermarking
Yigitcan Oezer, Wanying Ge, Zhe Zhang, Xin Wang, Junichi Yamagishi (NII) EA2025-100 SIP2025-120 SP2025-53
Abstract (in Japanese) (See Japanese page) 
(in English) Audio watermarking embeds auxiliary information into speech while maintaining speaker identity, linguistic content, and perceptual quality. Although recent advances in neural and digital signal processing-based watermarking methods have improved imperceptibility and embedding capacity, robustness is still primarily assessed against conventional distortions such as compression, additive noise, and resampling. However, the rise of deep learning–based attacks introduces novel and significant threats to watermark security. In this work, we investigate self voice conversion as a universal, content-preserving attack against audio watermarking systems. Self voice conversion remaps a speaker’s voice to the same identity while altering acoustic characteristics through a voice conversion model. We demonstrate that this attack severely degrades the reliability of state-of-the-art watermarking approaches and highlight its implications for the security of modern audio watermarking techniques.
Keyword (in Japanese) (See Japanese page) 
(in English) audio watermarking / self voice conversion / robustness / deepfake / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 371, SP2025-53, pp. 165-170, March 2026.
Paper # SP2025-53 
Date of Issue 2026-02-23 (EA, SIP, 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)
Download PDF EA2025-100 SIP2025-120 SP2025-53

Conference Information
Committee SP EA SIP IPSJ-SLP  
Conference Date 2026-03-02 - 2026-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2026-03-SP-EA-SIP-SLP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Self Voice Conversion as an Attack against Neural Audio Watermarking 
Sub Title (in English)  
Keyword(1) audio watermarking  
Keyword(2) self voice conversion  
Keyword(3) robustness  
Keyword(4) deepfake  
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1st Author's Name Yigitcan Oezer  
1st Author's Affiliation National Institute of Informatics (NII)
2nd Author's Name Wanying Ge  
2nd Author's Affiliation National Institute of Informatics (NII)
3rd Author's Name Zhe Zhang  
3rd Author's Affiliation National Institute of Informatics (NII)
4th Author's Name Xin Wang  
4th Author's Affiliation National Institute of Informatics (NII)
5th Author's Name Junichi Yamagishi  
5th Author's Affiliation National Institute of Informatics (NII)
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Speaker Author-1 
Date Time 2026-03-02 15:30:00 
Presentation Time 80 minutes 
Registration for SP 
Paper # EA2025-100, SIP2025-120, SP2025-53 
Volume (vol) vol.125 
Number (no) no.369(EA), no.370(SIP), no.371(SP) 
Page pp.165-170 
#Pages 6 
Date of Issue 2026-02-23 (EA, SIP, SP) 

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