AUDIO WATERMARKING VIA EMD TECHNOLOGY

Abstract

In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition
(EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic
oscillatory components called Intrinsic Mode Functions (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 shows that our method has better performance than watermarking schemes reported
recently.