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Empirical mode decomposition based blind audio watermarking

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Abstract

Multiparty-multilevel digital rights management of audio requires blind detection of multiple watermarks. The proposed audio watermarking method offers copyright protection based on analysis filterbank decomposition, psychoacoustic model and empirical mode decomposition (EMD). The novel blind audio watermarking algorithm embeds the watermark bits in the final residue of the subbands in the transform domain. The watermarking system performance is optimized by selecting appropriate segment length for applying EMD process and by selecting the number of subbands for watermark embedding. Experimental results show that the proposed scheme is robust against various common signal processing manipulations while multiple watermark messages can be embedded.

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Authors and Affiliations

  1. School of Automation, Northwestern Polytechnical University, Xi’an, China

    Zhaoyang Fu

  2. School of Computer Science, Northwestern Polytechnical University, Xi’an, China

    Peng Zhang

  3. School of Information Engineering, Nanchang University, Jiangxi, China

    Wei Huang

  4. School of Computer Engineering, Nanyang Technological University, Singapore, Singapore

    Liang Wang & Sabu Emmanuel

  5. Xi’an Communications Institute, Xi’an, China

    Guang Chen

Authors
  1. Zhaoyang Fu
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  2. Peng Zhang
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  3. Wei Huang
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  4. Liang Wang
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  5. Sabu Emmanuel
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  6. Guang Chen
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Corresponding authors

Correspondence to Peng Zhang or Wei Huang.

Additional information

This work is supported by the national grants No. 61301194 and No. 61363046 approved by the National Natural Science Foundation of China, as well as the doctoral program of High Education of China No. 20126102120055 approved by the Ministry of Education, China.

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Fu, Z., Zhang, P., Huang, W. et al. Empirical mode decomposition based blind audio watermarking. Multimed Tools Appl 74, 6019–6040 (2015). https://doi.org/10.1007/s11042-014-1905-6

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  • DOI: https://doi.org/10.1007/s11042-014-1905-6

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