INVESTIGATION OF AUDIO SIGNALS WATERMARKING USING EMPIRICAL MODE DECOMPOSITION

In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is proposed. The audio signal is separated into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called Intrinsic Mode Functiions (IMFs). The watermark and the synchronization codes are embedded into the extrema of the last IMF, a low frequency mode stable under different attacks and preserving audio perceptual quality of the host signal. The data embedding rate of the proposed algorithm is 46.9-50.3 b/s. Relying on exhaustive simulations, we show the robustness of the hidden watermark for additive noise, MP3 compression, re-quantization, filtering, cropping and resampling. The comparison analysis elucidates that our method has better performance than watermarking schemes reported recently.