Based on recent information hiding theory, information hiding may be reviewed as a game between hider (embedder/decoder) and attacker, and optimal information-embedding and attack strategies may be developed in this context. So far, there is a lot of work to apply this theory to image watermarking. However, little research work is about applying this theory to audio watermarking. This paper aims to fill in this gap. An information-theoretic model for audio watermarking is presented. We use wavelet statistical models for audio signals and compute data-hiding capacity for compressed and uncompressed host-audio sources. The simulation shows that the within experimental results, the proposed system has near-optimal performance compared to the theoretical upper bounds.
https://www.aes.org/e-lib/browse.cfm?elib=12418
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