Multi-format speech perception hashing algorithm based on frequency band variance
Yibo Huang, Yong Wang · 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP) · 2019
Aiming at the problems of single speech format, no universal algorithm, low efficiency, low accuracy of tamper detection and location in small-scale of existing speech content authentication algorithms, a multi-format speech perception hashing algorithm based on frequency band variance is proposed. Firstly, the speech signal is preprocessed, framed and windowed, and the frequency band variance of each frame is calculated. Then, the hash sequence is constructed by difference hashing. Finally, the overvall security of the algorithm is improved by using logistic chaotic map to scramble and encrypt the hash of equal length. The experimental results show that the proposed algorithm not only has good efficiency, key dependence, robustness and discrimination, but also has a good compromise between robustness and discrimination.