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Paper Abstract and Keywords
Presentation 2016-01-19 11:45
Study on Source-filter Model Based Hybrid Speech Watermarking
Shengbei Wang, Nhut Minh Ngo, Masashi Unoki (JAIST) EMM2015-69
Abstract (in Japanese) (See Japanese page) 
(in English) As a kind of information carrier, digital speech contains important values. However, illegal use of advanced digital techniques has enabled digital speech to be easily reduplicated and edited, which would cause ig problems. Speech watermarking can effectively solve these problems by embedding digital information into the original speech signal. This paper proposes a hybrid watermarking method for speech signal. The hybrid method utilizes the source-filter model of speech production so that the speech signal can be separated into two independent components, i.e., the residue information and the vocal tract information (characterized by formants). The residue and the vocal tract information are separately embedded with watermarks with the quantization index modulation (QIM) based and the formant enhancement (FE) based watermarking. The independence between the residue and vocal tract information ensures that the performance of one watermarking method will not be affected by the other, which makes the hybrid watermarking feasible. Objective evaluations related to inaudibility and robustness were carried out to evaluate the proposed method. The results showed that the proposed method could satisfy inaudibility and the robustness could be increased in comparison with single method by taking advantages of both two methods. These results verified the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Hybrid speech watermarking / Source-filter model / Quantization index modulation / Formant enhancement / Inaudibility / Robustness / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 397, EMM2015-69, pp. 49-54, Jan. 2016.
Paper # EMM2015-69 
Date of Issue 2016-01-11 (EMM) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee EMM  
Conference Date 2016-01-18 - 2016-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Katahira Campus, Tohoku University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Sense of Presence, Universal Media, Digital Entertainment, etc. 
Paper Information
Registration To EMM 
Conference Code 2016-01-EMM 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on Source-filter Model Based Hybrid Speech Watermarking 
Sub Title (in English)  
Keyword(1) Hybrid speech watermarking  
Keyword(2) Source-filter model  
Keyword(3) Quantization index modulation  
Keyword(4) Formant enhancement  
Keyword(5) Inaudibility  
Keyword(6) Robustness  
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Keyword(8)  
1st Author's Name Shengbei Wang  
1st Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
2nd Author's Name Nhut Minh Ngo  
2nd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
3rd Author's Name Masashi Unoki  
3rd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
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Speaker Author-3 
Date Time 2016-01-19 11:45:00 
Presentation Time 30 minutes 
Registration for EMM 
Paper # EMM2015-69 
Volume (vol) vol.115 
Number (no) no.397 
Page pp.49-54 
#Pages
Date of Issue 2016-01-11 (EMM) 


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