Noise Robustness Evaluation for Fallahpour's Audio Watermarking Method

Abstract

The audio watermarking method which it was recently proposed by Fallahpour is one of the methods with highest payload published to date. We tried to evaluate it and found that a weakness in terms of noise robustness is demonstrated when the audio source contains some silence gaps. In this paper we evaluate noise robustness issue for Fallahpour's audio watermarking method. It is achieved by adding some important known noises as white, pink and babble noises to the audio data samples, after applying the embedding algorithm. Experimental results show that the extracted data's BER, varies due to different values of the SNR and Fallahpour's method's parameters.