Robust audio watermarking using perceptual masking
Signal Processing
Turbo codes: principles and applications
Turbo codes: principles and applications
Robust Covert Communication over a Public Audio Channel Using Spread Spectrum
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Diversity and attack characterization for improved robustwatermarking
IEEE Transactions on Signal Processing
Robust audio watermarking in the time domain
IEEE Transactions on Multimedia
International Journal of Advanced Media and Communication
Machine learning based adaptive watermark decoding in view of anticipated attack
Pattern Recognition
Audio watermark detection improvement by using noise modelling
MIV'05 Proceedings of the 5th WSEAS international conference on Multimedia, internet & video technologies
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Standard spread spectrum audio watermarking algorithms offer BER unacceptable for reliable transmission of data. Causes of unreliable watermark detection are often attacks that distort the watermarked audio in fading-like manner, disabling the correlation-based detectors to extract data. In this paper, consideration of capacity of the audio watermark channel in the presence of fading-like distortion is performed. It is shown that turbo codes offer convenient trade-off between capacity of the watermark channel and BER due to large coding gain in fading environment. Test results proved a large advantage of the proposed algorithm over standard detection as robustness is significantly increased for a given watermark data rate.