A novel feature-based robust audio watermarking for copyright protection

A novel public audio watermarking scheme based on the statistical feature manipulation in the wavelet domain combined with an error correction coding technique is proposed in this paper. The algorithm is shown to be rather robust against a variety of common signal processing manipulations and synchronization attacks including the very challenging random cropping and time scale modifications. The watermarked audio has very high perceptual quality and is indistinguishable from the original signal. A blind watermark detection technique without resorting to the original signal is developed to identify the embedded watermark under various types of attacks. Security is guaranteed by applying a chaotic sequence during embedding and detection. Several meaningful suggestions on how to use error correction coding technique to improve the robustness are given at the end.