A blind audio watermarking based on stochastic resonance signal processor

A blind audio watermarking algorithm in the time domain is proposed. The audio signal is divided into frames and the watermark is inserted on a frame by frame basis. The proposed algorithm detects the watermark using a signal processor based on the stochastic resonance mechanism. The watermark detection does not need the original audio. The parameter-induce stochastic resonance in audio watermarking is observed and the interpretation to this phenomenon is given. For the synchronization attack, the experimental results show that the stochastic resonance signal processor can catch up and surpass the performance of the matched filter. This reveals a robustness superiority of the stochastic resonance signal processor, compared to the matched filter operating outside its strict nominal conditions, which is especially helpful for the audio watermarking.