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Authenticity identification of speaker digital recording data based on quantum genetic algorithm

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Abstract

The problem we are trying to solve in this paper is the authenticity identification of speaker digital recording data. As an important basis of the judicial identification, it is crucial to ensure the authenticity of digital recording data. A large number of solutions have been proposed to address the problem. However, classic methods are usually based on logical symbol rather than the physical detection of energy or phase, and these solutions show drawbacks in terms of identification inefficiency, algorithm instability and heavy time overhead. In this paper, we propose to utilize the quantum theory to address the problem. Any tampering operation for digital recording data can lead to the change of charge in the memory, and it can utilize the subtle change to implement the identification. First, we analyze the quantum nature of storage and investigate to extract the transmittance of speech signal as the characteristic value through quantum tunneling theory. Second, aiming at the characteristics of speech signal, we utilize the transmittance to define the rotation angle step function and propose an improved quantum genetic algorithm to detect the change of phase. The proposed method achieves the authenticity identification based on phase detection. The results obtained in this research include the problem can be addressed by phase detection solution based on quantum genetic algorithm, and it shows performance benefits compared with existing solutions by simulation experiment. It is not only theoretically but also practically feasible to realize authenticity identification of speak digital recording data.

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Acknowledgements

This work reported in this paper is supported by the Natural Science Foundation of Guizhou Province of China under Grant [2012]2132 and Natural Science Foundation of Education Department of Guizhou Province of China under Grant (2015)367.

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Authors and Affiliations

  1. College of Computer Science and Technology, Guizhou University, Guiyang, 550025, China

    Chao Zhou, Ping Pan & Liang Huang

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  1. Chao Zhou
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  2. Ping Pan
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  3. Liang Huang
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Correspondence to Ping Pan.

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Zhou, C., Pan, P. & Huang, L. Authenticity identification of speaker digital recording data based on quantum genetic algorithm. Multimed Tools Appl 77, 19399–19413 (2018). https://doi.org/10.1007/s11042-017-5369-3

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  • DOI: https://doi.org/10.1007/s11042-017-5369-3

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