A robust digital audio watermarking algorithm using Empirical Mode Decomposition

In this paper, we proposed a new algorithm for digital audio watermarking process using Empirical Mode Decomposition (EMD) and Hilbert Transform (HT). The host audio signal is decomposed into several Intrinsic Mode Functions (IMFs). A set of -1 and 1, which is obtained by mapping from standard normal distributed pseudo random numbers, is embedded as secret information into the IMF containing highest energy. Thus selected IMF is less sensitive with common signal processing attack. As a result this method increases robustness. The experimental results show that the proposed method has good imperceptibility and robustness under common signal processing attacks such as additive noise (in time domain and in frequency domain), low pass filtering, re-sampling, re-quantization, MP3 compression, and sound processing effects such as, delay, a natural sounding reverberation (Schroeder´s Reverberator), flanging effect, equalization effect.