Paper Info
Title
Multi-Format Speech Biohashing Based On Energy To Zero Ratio And Improved Lp-Mmse Parameter Fusion
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.
Year
DOI
Venue
2021
10.1007/s11042-020-09701-z
MULTIMEDIA TOOLS AND APPLICATIONS
Keywords
DocType
Volume
Speech content authentication, BioHashing, LP-MMSE, Henon map, MCD, Comparative difference method
Journal
80
Issue
ISSN
Citations 
7
1380-7501
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Yong Wang100.34
Yi-bo Huang201.01
Ran Zhang33313.46
Zhang Qiuyu4168.45