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Tamper recovery algorithm for digital speech signal based on DWT and DCT

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Abstract

It is a challenging work to design tamper recovery schemes for digital speech signal. Briefly, there are two problems need to be solved. One is that the signals used to tamper recovery are difficult to generate and embed, and the second is that it’s hard to tamper location precisely for attacked speech signal. In this paper, compression and reconstruction method based on discrete wavelet transform (DWT) and discrete cosine transform (DCT) is given, to obtain the compressed signals used to tamper recovery. And then frame number and compressed signals are embedded based on block-based method. Attacked signal can be located by frame number, and compressed signals are extracted and used to reconstruct the attacked signal. Theory analysis and experimental results indicate that the scheme proposed not only improves the accuracy of tamper localization, but also can reconstruct the attacked signals.

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Acknowledgments

This paper is supported by the National Natural Science Foundation of China (Grant No. 61332012, 61272465, 61502409), Shenzhen R&D Program (GJHZ20140418191518323), and Nanhu Scholars Program for Young Scholars of XYNU. We would like to thank the anonymous reviewers for their constructive suggestions.

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Authors and Affiliations

  1. College of Information Engineering and Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, 518060, China

    Z. H. Liu, D. Luo & J. W. Huang

  2. College of Computer and Information Technology, Xinyang Normal University, Xinyang, 464000, China

    Z. H. Liu

  3. College of Mathematics and Information Science, Xinyang Normal University, Xinyang, 464000, China

    J. Wang & C. D. Qi

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  1. Z. H. Liu
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  2. D. Luo
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  3. J. W. Huang
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  4. J. Wang
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  5. C. D. Qi
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Correspondence to J. W. Huang.

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Liu, Z.H., Luo, D., Huang, J.W. et al. Tamper recovery algorithm for digital speech signal based on DWT and DCT. Multimed Tools Appl 76, 12481–12504 (2017). https://doi.org/10.1007/s11042-016-3664-z

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  • DOI: https://doi.org/10.1007/s11042-016-3664-z

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