Robust audio watermarking using perceptual masking
Signal Processing
Robust Covert Communication over a Public Audio Channel Using Spread Spectrum
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Audio Watermark Robustness to Desynchronization via Beat Detection
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
A temporal domain audio watermarking technique
IEEE Transactions on Signal Processing
Time-scale invariant audio watermarking based on the statistical features in time domain
IH'06 Proceedings of the 8th international conference on Information hiding
Audio watermarking algorithm based on centroid and statistical features
ICICS'07 Proceedings of the 9th international conference on Information and communications security
Statistical characteristic-based robust audio watermarking for resolving playback speed modification
Digital Signal Processing
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In this paper, we present a method for informed watermark detection in audio signals. In this context, informed detection refers to the mechanism in which the original media signal is used to improve robustness and/or complexity. Here, we focused on reducing complexity by addressing the geometrical distortion problem. In audio, geometrical distortion translates to time scaling. Generally, s speed changes of the audio signals necessitate a mechanism in the detector to retrieve the watermark. Usually this is done by some kind of (clever) exhaustive search algorithms. In this paper we show that the speed searching process can significantly be improved using fingerprinting technology. Particularly, an initial estimate of the speed is obtained by extracting the so-called local fingerprint time stamps. This initial estimate is then used as a starting point for the exhaustive speed search algorithm in the watermark detector. We also give analyses on the accuracies of the watermark detector and the fingerprint algorithm and the relations thereof. Moreover, we present the concept for integrating fingerprint algorithm in the watermark detector and discuss the influence of various parameters. We show that, apart from a significant complexity reduction, such integration can lead to an improvement in robustness as a byproduct.