Increasing Robustness of an Improved Spread Spectrum Audio Watermarking Method Using Attack Characterization

We propose a novel robust audio watermarking algorithm in time domain that uses perceptually tuned ISS method and attack characterization at the embedding side. Attack characterization is used for prediction of distortions in the watermark channel in order to improve watermark detection reliability. The proposed algorithm has decreased bit error rate in comparison with the watermarking system that uses SS and has simple tools to tune the algorithm to the maximum available watermark capacity for a fixed detection bit error rate.