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Paper Abstract and Keywords
Presentation 2023-01-26 14:00
Improving Frame Synchronization in Blind Speech Watermarking Method based on Spread-Spectrum using Linear Prediction Residue
Takuto Isoyama (JAIST), Tetsuya Kojima (NIT, Tokyo College), Masashi Unoki (JAIST) EMM2022-66
Abstract (in Japanese) (See Japanese page) 
(in English) We previously proposed a blindly-detectable direct-spread spectrum (DSS) method using linear prediction (LP) residue. This method uses frame synchronization, however, it requires a long signal duration for highly accurate synchronization. In this paper, we improve the LP-DSS method to enable frame synchronization with high accuracy even with a short signal duration. The improved method was realized by focusing on the characteristic of M-sequence signal and by spread spectrum modulation of the LP residue with the M-sequence signal. To evaluate the improved method, the sound quality, frame synchronization accuracy, and robustness of the improved method were compared with those of the previously proposed method when the intensity setting level was changed. The results showed that the improved method was able to achieve frame synchronization with an accuracy greater than $80%$ at a strength setting level of $-20$ dB for short signal duration, although the sound quality of the watermarked signal from improved method was lower than that of the watermarked signal from previously proposed method. The improved method was sufficiently robust against desynchronization attacks than the previously proposed method on a short signal duration.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech information hiding / liner prediction / spread spectrum / linear prediction residue / frame synchronization / M-sequence signal / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 368, EMM2022-66, pp. 26-31, Jan. 2023.
Paper # EMM2022-66 
Date of Issue 2023-01-19 (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 EMM2022-66

Conference Information
Committee EMM  
Conference Date 2023-01-26 - 2023-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Sense of Presence, Universal Media, Digital Entertainment, etc. 
Paper Information
Registration To EMM 
Conference Code 2023-01-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improving Frame Synchronization in Blind Speech Watermarking Method based on Spread-Spectrum using Linear Prediction Residue 
Sub Title (in English)  
Keyword(1) Speech information hiding  
Keyword(2) liner prediction  
Keyword(3) spread spectrum  
Keyword(4) linear prediction residue  
Keyword(5) frame synchronization  
Keyword(6) M-sequence signal  
Keyword(7)  
Keyword(8)  
1st Author's Name Takuto Isoyama  
1st Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
2nd Author's Name Tetsuya Kojima  
2nd Author's Affiliation National Institute of Technology, Tokyo College (NIT, Tokyo College)
3rd Author's Name Masashi Unoki  
3rd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
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Speaker Author-1 
Date Time 2023-01-26 14:00:00 
Presentation Time 25 minutes 
Registration for EMM 
Paper # EMM2022-66 
Volume (vol) vol.122 
Number (no) no.368 
Page pp.26-31 
#Pages 6 
Date of Issue 2023-01-19 (EMM) 

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