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Multi-format speech BioHashing based on energy to zero ratio and improved LP-MMSE parameter fusion

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Abstract

In order to solve the problems of poor security and small application scope of speech content authentication, and to improve the robustness, discrimination and real-time performance of speech authentication, a multi-format speech BioHashing algorithm based on energy to zero ratio and improved linear prediction minimum mean square error (LP-MMSE) parameter fusion is proposed. Firstly, the algorithm extracts the short-term logarithmic energy, zero-crossing rate and the covariance method’s LP-MMSE of speech signal to be processed. Then, the time-frequency parameters are fused, and the fused feature vector and the orthogonal normalized random matrix of the key control are generated into BioHashing sequences through the inner product form. Finally, the BioHashing is encrypted by equal-length scrambling using henon chaotic map. The experimental results show that the proposed algorithm not only has the characteristics of good discrimination, strong robustness, good security, high real-time performance and wide application range, but also realizes the detection and localization of small-scale tampering of speech through minimum code distance (MCD) algorithm. At the same time, the algorithm also validates the unidirectionality of BioHashing with trapdoor by comparative difference method.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China(No.61862041), Youth Science and Technology Fund of Gansu Province of China(No.1606RJYA274).

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Authors and Affiliations

  1. College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, 730070, China

    Yong Wang, Yi-bo Huang & Ran Zhang

  2. School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China

    Qiu-yu Zhang

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  1. Yong Wang
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  2. Yi-bo Huang
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  3. Ran Zhang
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  4. Qiu-yu Zhang
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Correspondence to Yi-bo Huang.

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Wang, Y., Huang, Yb., Zhang, R. et al. Multi-format speech BioHashing based on energy to zero ratio and improved LP-MMSE parameter fusion. Multimed Tools Appl 80, 10013–10036 (2021). https://doi.org/10.1007/s11042-020-09701-z

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  • DOI: https://doi.org/10.1007/s11042-020-09701-z

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