Multi-format speech BioHashing based on energy to zero ratio and improved LP-MMSE parameter fusion
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Multi-format speech BioHashing based on energy to zero ratio and improved LP-MMSE parameter fusion Yong Wang1 · Yi-bo Huang1
· Ran Zhang1 · Qiu-yu Zhang2
Received: 2 May 2020 / Revised: 17 August 2020 / Accepted: 21 August 2020 / © Springer Science+Business Media, LLC, part of Springer Nature 2020
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. Keywords Speech content authentication · BioHashing · LP-MMSE · Henon map · MCD · Comparative difference method Yi-bo Huang
huang [email protected] Yong Wang [email protected] Ran Zhang [email protected] Qiu-yu Zhang [email protected] 1
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, 730070, China
2
School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China
Multimedia Tools and Applications
1 Introduction In recent years, with the rapid development and increasing popularity of mobile communication technologies, data storage technologies and multimedia home collection devices, multimedia information has become the main medium for transmitting information. Speech signal is an important information carrier, how to achieve its fast content authentication and ensure the security of data transmission has become a hot issue [21, 25, 43]. With the introduction of BioHashing, 1) The key is difficult to forge or distribute. 2) Guessing the key is very difficult. 3) The key will not be lost or forgotten, and it is also difficult to copy or share [3], which makes the BioHashing technology significantly improved in the security and discrimination of the traditional hash, which makes the BioHashing widely applied to the field of identity authentication [1, 13, 14, 20, 26]. At present, the main speech feature extraction methods based on hash include frequency band va
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