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A Digital Audio Watermarking Scheme Based on Blind Source Separation

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Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3497))

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Abstract

An effective digital audio watermarking scheme based on blind source separation (BSS) for blind watermark detection is proposed in this paper. In the embedding procedure, the original watermark is modulated by chaotic sequence to generate an embedding watermark. Then watermarked audio signal is combined by two signals which are mixed by original audio signal and embedding watermark according to BSS mixing model. In the detecting procedure, watermarked audio signal is split into two signals first, and then BSS technique is applied to them to obtain the separated embedding watermark. At last, we can determine the watermark presence by correlation values between the separated embedding watermark and embedding watermark. Experimental results show the effectiveness of the proposed method.

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Author information

Authors and Affiliations

  1. School of Electronic and Information Engineering, Dalian University of Technology, Dalian, 116023, China

    Xiaohong Ma, Chong Wang, Xiangping Cong & Fuliang Yin

Authors
  1. Xiaohong Ma
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  2. Chong Wang
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  3. Xiangping Cong
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  4. Fuliang Yin
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

    Xiao-Feng Liao

  3. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

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© 2005 Springer-Verlag Berlin Heidelberg

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Ma, X., Wang, C., Cong, X., Yin, F. (2005). A Digital Audio Watermarking Scheme Based on Blind Source Separation. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_90

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  • DOI: https://doi.org/10.1007/11427445_90

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25913-8

  • Online ISBN: 978-3-540-32067-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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