| Paper Abstract and Keywords |
| Presentation |
2026-03-03 11:00
[Poster Presentation]
Spoofing attacks using deepfake speech synthesized from non-consensual recordings Sawato Furubayashi (Tokyo Metropotitan Univ.), Shinnosuke Takamichi (Keio Univ.), Sayaka Shiota (Tokyo Metropotitan Univ.) EA2025-119 SIP2025-139 SP2025-72 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In recent years, advances in deep learning have made deepfake media increasingly difficult to distinguish from genuine content. In the speech domain, remarkable progress has been achieved, including the ability to generate synthetic speech that accurately mimics specific speakers. However, the malicious use of such technologies has become a serious concern, and improving robustness against attacks using previously unseen deepfake media has emerged as an important challenge.
In this study, we propose a method for generating high-quality deepfake speech that imitates multiple real speakers by applying speech enhancement and zero-shot text-to-speech to speech obtained through non-consensual recordings containing background noise, which are generally unsuitable for training speech synthesis models. Experimental results on countermeasure systems and automatic speaker verification systems demonstrate that the speech generated by the proposed method can successfully bypass existing speech security systems with high accuracy. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Voice Spoofing Detection / non-consensual recording / Text-to-speech / Automatic Speaker Vertification / zero-shot text-to-speech / Audio deepfake / Voice security / J-SPAW |
| Reference Info. |
IEICE Tech. Rep., vol. 125, no. 371, SP2025-72, pp. 277-282, March 2026. |
| Paper # |
SP2025-72 |
| 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 |
EA2025-119 SIP2025-139 SP2025-72 |
| 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) |
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| Paper Information |
| Registration To |
SP |
| Conference Code |
2026-03-SP-EA-SIP-SLP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Spoofing attacks using deepfake speech synthesized from non-consensual recordings |
| Sub Title (in English) |
|
| Keyword(1) |
Voice Spoofing Detection |
| Keyword(2) |
non-consensual recording |
| Keyword(3) |
Text-to-speech |
| Keyword(4) |
Automatic Speaker Vertification |
| Keyword(5) |
zero-shot text-to-speech |
| Keyword(6) |
Audio deepfake |
| Keyword(7) |
Voice security |
| Keyword(8) |
J-SPAW |
| 1st Author's Name |
Sawato Furubayashi |
| 1st Author's Affiliation |
Tokyo Metropolitan University (Tokyo Metropotitan Univ.) |
| 2nd Author's Name |
Shinnosuke Takamichi |
| 2nd Author's Affiliation |
Keio University (Keio Univ.) |
| 3rd Author's Name |
Sayaka Shiota |
| 3rd Author's Affiliation |
Tokyo Metropolitan University (Tokyo Metropotitan Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2026-03-03 11:00:00 |
| Presentation Time |
80 minutes |
| Registration for |
SP |
| Paper # |
EA2025-119, SIP2025-139, SP2025-72 |
| Volume (vol) |
vol.125 |
| Number (no) |
no.369(EA), no.370(SIP), no.371(SP) |
| Page |
pp.277-282 |
| #Pages |
6 |
| Date of Issue |
2026-02-23 (EA, SIP, SP) |