An Audio Watermarking Method of Resistance Statistics Attack Based on Psychoacoustic Model

Xiao-li Liu, Shuifa Sun, Jian-wei Zhu, Ming Jiang, Dan-gui Xie

Abstract: An audio watermarking algorithm based on psychoacoustic model is proposed. The algorithm can resist the statistics attack. The frequency masking threshold of the audio is calculated through psychoacoustic model. The frequency masking threshold is used to estimate the strength of the watermark signal and determine the location of embedding. The watermark is embedded in a way of resistance statistics attack. The audio watermarking algorithm presented here is blind for no original audio is required when detection. The simulation results show that the watermarked audio is perceptually similar to the original one.