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Paper Abstract and Keywords
Presentation 2018-11-21 13:30
Study on spread-spectrum based speech watermarking method by using linear prediction residual
Reiya Namikawa, Masashi Unoki (JAIST) EA2018-68 EMM2018-68
Abstract (in Japanese) (See Japanese page) 
(in English) Direct spread spectrum (DSS) method is well-known as a robust audio information-hiding method.
However, this method has a problem that the sound quality of the watermarked signal is dramatically reduced due to embedding.
This paper proposes a spread-spectrum based speech watermarking method by using linear prediction (LP) residue.
In the proposed method, the LP residue is used instead of PN signal, to be DSS-based speech watermarking.
In addition, the LP residue has the same periodicity of the host signal so that the sound quality of the watermarked signal is not distorted, comparison with DSS method.
Bit error rate (BER), objective sound quality measures, and robustness against signal processing ware evaluated whether or not the proposed method can satisfy important requirements of inaudibility and robustness.
The results showed that the BER in the proposed method is almost the same as that in DSS method, while the sound quality is dramatically improved by comparing it with DSS method.
Therefore, it was confirmed that the proposed method is an inaudible and robust speech watermarking.
Keyword (in Japanese) (See Japanese page) 
(in English) Information hiding / Spread spectrum / linear predictive coding / linear prediction residue / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 313, EMM2018-68, pp. 31-36, Nov. 2018.
Paper # EMM2018-68 
Date of Issue 2018-11-14 (EA, EMM) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 EA2018-68 EMM2018-68

Conference Information
Committee EA ASJ-H EMM IPSJ-MUS  
Conference Date 2018-11-21 - 2018-11-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Hotel Koshuen 
Topics (in Japanese) (See Japanese page) 
Topics (in English) [Beginners Session] Engineering/Electro Acoustics, Psychological and Physiological Acoustics, Music and Computer, Content Processing, Digital Watermarking, and Related Topics 
Paper Information
Registration To EMM 
Conference Code 2018-11-EA-H-EMM-MUS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on spread-spectrum based speech watermarking method by using linear prediction residual 
Sub Title (in English)  
Keyword(1) Information hiding  
Keyword(2) Spread spectrum  
Keyword(3) linear predictive coding  
Keyword(4) linear prediction residue  
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1st Author's Name Reiya Namikawa  
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 2018-11-21 13:30:00 
Presentation Time 150 minutes 
Registration for EMM 
Paper # EA2018-68, EMM2018-68 
Volume (vol) vol.118 
Number (no) no.312(EA), no.313(EMM) 
Page pp.31-36 
#Pages
Date of Issue 2018-11-14 (EA, EMM) 


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