Robust Multiplicative Audio and Speech Watermarking Using Statistical Modeling

Abstract

In this paper, a semi-blind multiplicative watermarking approach for audio and speech signals has been presented. At the receiver end, the optimal Maximum Likelihood (ML) detector aided by the channel side information for Gaussian and Laplacian signals in noisy environment is designed and implemented. The performance of the proposed scheme is analytically… (More)
DOI: 10.1109/ICC.2009.5199424

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Cite this paper

@article{Akhaee2009RobustMA, title={Robust Multiplicative Audio and Speech Watermarking Using Statistical Modeling}, author={Mohammad Ali Akhaee and Nima Khademi Kalantari and Farrokh Marvasti}, journal={2009 IEEE International Conference on Communications}, year={2009}, pages={1-5} }