Hash Authentication Algorithm of Compressed Domain Speech Perception Based on MFCC and NMF

摘要

A Hash authentication algorithm of speech perception based on MDCT coefficients was proposed to solve the problems of large amount of computation and bad real-time capability when using traditional authentication algorithm in compressed domain speech. Firstly, the algorithm extracts MDCT coefficients by partly decompressing speech sound in MP3 format. Then MDCT coefficients of each frame of speech are processed by Mel filter in the compressed domain, forming the 15-dimensional MFCC coefficient vector. Finally the perceptual Hash string is generated by Hash structure. The perceptual Hash string can perceive the content of voice authentication. Experimental results show that the algorithm keeping on content presents the strong robustness and good real-time capability.