Genetic Algorithm Optimization of Multiwavelet-based Audio Watermarking

In this paper, we propose a new approach for optimization in audio watermarking using artificial intelligent technique. The watermarks are embedded into the low frequency coefficients in discrete multiwavelet transform domain. The embedding technique is based on quantization process which does not require the original audio signal in the watermark extraction. We have developed an optimization technique using the genetic algorithm to search for optimal quantization step in order to improve both quality of watermarked audio and robustness of the watermark. The experimental results show that our proposed method can improve the quality of the watermarked audio signal and give more robustness of the watermark as compared to previous works. Key-Words: Audio watermarking, Multiwavelet, Genetic algorithm, Artificial intelligence, Optimization