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Paper Abstract and Keywords
Presentation 2022-01-27 15:00
Speech Watermarking Approach for Securing Speaker Anonymization using McAdams Coefficients
Candy Olivia Mawalim, Masashi Unoki (JAIST) EMM2021-88
Abstract (in Japanese) (See Japanese page) 
(in English) Speaker anonymization aims to suppress speaker individuality to protect privacy in speech while preserving the other aspects, such as speech content. One effective solution for anonymization is to modify the McAdams coefficient. In this work, we propose a method to improve the security for speaker anonymization based on the McAdams coefficient by using a speech watermarking approach. The proposed method consists of two main processes: one for embedding and one for detection. In embedding process, two different McAdams coefficients represent binary bits “0”and “1”. The watermarked speech is then obtained by frame-by-frame bit inverse switching. Subsequently, the detection process is carried out by a power spectrum comparison. We conducted objective evaluations with reference to the VoicePrivacy 2020 Challenge (VP2020) and of the speech watermarking with reference to the Information Hiding Challenge (IHC) and found that our method could satisfy the blind detection, inaudibility, and robustness requirements in watermarking. It also significantly improved the anonymization performance in comparison to the secondary baseline system in VP2020.
Keyword (in Japanese) (See Japanese page) 
(in English) speaker anonymization / McAdams coefficient / linear prediction / speech watermarking / voice privacy / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 362, EMM2021-88, pp. 25-30, Jan. 2022.
Paper # EMM2021-88 
Date of Issue 2022-01-20 (EMM) 
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 EMM2021-88

Conference Information
Committee EMM  
Conference Date 2022-01-27 - 2022-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Sense of Presence, Universal Media, Digital Entertainment, etc. 
Paper Information
Registration To EMM 
Conference Code 2022-01-EMM 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Speech Watermarking Approach for Securing Speaker Anonymization using McAdams Coefficients 
Sub Title (in English)  
Keyword(1) speaker anonymization  
Keyword(2) McAdams coefficient  
Keyword(3) linear prediction  
Keyword(4) speech watermarking  
Keyword(5) voice privacy  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Candy Olivia Mawalim  
1st Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
2nd Author's Name Masashi Unoki  
2nd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
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Speaker Author-1 
Date Time 2022-01-27 15:00:00 
Presentation Time 25 minutes 
Registration for EMM 
Paper # EMM2021-88 
Volume (vol) vol.121 
Number (no) no.362 
Page pp.25-30 
#Pages 6 
Date of Issue 2022-01-20 (EMM) 

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