A self-synchronization digital audio watermarking based on support vector regression

Abstract

Synchronization attack is one of the key issues of digital audio watermarking. It is a challenging work to design a robust audio watermarking scheme against de-synchronization attacks. In this paper, a robust digital audio watermarking algorithm is presented, which can resist synchronization attack effectively. The features of the algorithm are as follows: (1) More steady features extraction and new embedded strategy are adopted to resist the synchronization attack effectively. (2) The candidate audio segments for embedding watermark are defined by using the feature points. (3) The digital watermark is embedded into a host audio by modulating the statistics average value of audio samples. (4) The algorithm can extract the watermark without the help of the original audio signal. (5) In digital watermark detection, the feature points are selected by the same technique as the embedding, and the digital watermark is extracted from the watermarked audio after the feature Points. Experimental results show that our synchronization audio watermarking scheme is not only inaudible and robust against various common signal processing (such as noise adding, resampling, re-quantization and MP3 compression and so on), but also robust against de-synchronization attacks such as random cropping, amplitude variation, time-scale modification, and jittering etc.