Transparency and complexity benchmarking of audio watermarking algorithms issues

A wide range of watermarking evaluation techniques especially for robustness has been described in the literature. Our paper sets the main focus on the evaluation of transparency and complexity of the embedding function of digital audio watermarking algorithms. Here, beside the evaluation of embedding parameters and the impact of audio content are investigated to determine the effects of transparency and complexity. The five selected watermarking algorithms, working in different domains, the embedding parameters and an audio test set is described and used for our so-called basic profile evaluation. The test results and the audio content dependencies are presented.

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