Skip to Main Content
This paper proposes an efficient digital audio watermarking scheme 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 signal and robustness of the watermark. Experiment results shows that the proposed watermarking scheme is robust against various signals processing such as re-sampling, re-quantization, low-pass filtering, noise adding, random cropping, MPEG 1 Layer III compression and digital-to-analog/analog-to-digital conversion.