An Empirical Mode Decomposition Algorithm for Audio Water Marking in Audio Signals

With the development of internet, illegal copying problem has become more serious and thus made digital watermarking enters as an important role to handle and deal such a critical issue. In this paper we present a digital audio watermarking process with the use of Empirical Mode Decomposition (EMD) and Hilbert Transform (HT). A binary image, which is obtained by mapping from standard normal distributed pseudo random numbers, is embedded as secret information into the significant coefficients of the highest energetic IMF that are greater than a specified adaptive threshold. Thus watermarked IMF is less sensitive to common signal processing attacks like such as additive noise, low pass filtering, re-sampling, re-quantization, MP3 compression, and sound processing effects etc . As a result this method increases more robustness. All this mean that, our methodology is applied to any image and any audio signals. .Experimentation has ensured the mark physical property, the ability of detection of the mark and therefore the hardiness against completely different varieties of attacks. KeywordsEMD, Hilbert transform, IMF, re-sampling,