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20 February 2006 Neural network based audio watermarking algorithm
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Proceedings Volume 6041, ICMIT 2005: Information Systems and Signal Processing; 60410V (2006)
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China
A novel audio watermarking algorithm based on neural networks was proposed. By transforming original audio sequence into 1D wavelet domain and selecting proper positions, several watermark bits were embed. Before transmitting, it effectively utilizes neural networks to learn the relation characteristics between original audio and watermarked audio. Due to the learning and adaptive capabilities of neural networks possessing, the trained neural networks almost exactly extract the watermark from the watermarked audio against audio processing attacks. Extensive experimental results show that the proposed method significantly possesses robustness. It is immune against such attacks as low pass filtering, addition of noise, resampling and medium filtering.
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Longhan Cao, Xiao Wang, Zhujing Wang, and Sen Bai "Neural network based audio watermarking algorithm", Proc. SPIE 6041, ICMIT 2005: Information Systems and Signal Processing, 60410V (20 February 2006);

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