Perceptual Speech Hashing Authentication Algorithm Based on Linear Prediction Analysis

According to the situation that traditional speech authentication algorithms are not appropriated for the present speech communication, we proposed a speech authentication algorithm of perceptual hashing which is based on linear forecast analysis (LPC), it can satisfy the requirement of the efficiency and the robustness for the speech authentication. Firstly, the LPC coefficients are optimized, based on the principle of LPC for speech signal, a new prediction coefficients is constituted through combing the energy and the LPC coefficients of a frame; then dividing the prediction coefficient matrix into smaller blocks, and do singular value decomposition (SVD) to the coefficients of each block. Finally, quantifying the formed singular value and getting perceptual hashing sequences. Experiments show that the proposed algorithm has good robustness for content preserving operations, and it doesn’t reduce the efficiency while meeting robustness, it can satisfy the real-time requirement of speech communication.