%0 Journal Article
%A LI Jin-feng
%A WANG Hong-xia
%A WU Tao
%T Perceptual Hashing Based on Correlation Coefficient of MFCC for Speech Authentication
%D 2015
%R 10.13190/j.jbupt.2015.02.016
%J Journal of Beijing University of Posts and Telecommunications
%P 89-93
%V 38
%N 2
%X <p>A perceptual hashing algorithm for speech content authentication based on correlation coefficient of mel-frequency cepstrum coefficients (MFCC) was proposed. The MFCC of the framed speech signal is extracted as perceptual feature. The correlation coefficients between MFCC and a pseudo-random sequence, which is generated by keys for security, were calculated. Hash sequence is generated by quantifying the correlation coefficients and then scrambling. For audio authentication procedure, a new method, similarity metric, was used to measure the distance of hashes, which is compared with the hamming distance method. Simulations show that the algorithm is robust against content-preserving manipulations such as re-sampling, MP3 compression, and so on. It is very sensitive to tamper of speech by similarity metric.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2015.02.016