Research On Digital Audio Watermarking For Copyright Judgment And Protection

With the economy of knowledge and era of Internet approach, the application of digital media works has made egregious progress. As a useful tool for the copyright protection and judgment, digital watermarking technique has gained more and more concerns in many ways since it appeared in 1993. Especially audio digital watermarking technique has been one of the research hotspots in recent years. With such technique we can embed secret information into digital audio signal, so as to arrive at the purpose of copyright protection and judgment. The chose of the work field and the embed method becomes more necessary, Wavelet transform, as a new powerful tool of time-frequency analysis, provides several good characters that make it appropriate to audio signal watermarking . In our work, two practical watermarking algorithms based on former studies are proposed: one based on wavelet transform and the other based on SVM (support vector machine). At the same time, we implement some experiments to test robustness and inapperceivity of the watermark produced from the two algorithm. The experimental results show that the embedded watermark is robust to audio signal processing. such as MPEG audio coding, cropping, filtering, resampling and requantizating.The algorithm based on wavelet transform makes good use of the characteristic of multi-distinguish and the sense of hearing characteristic to embed and extract the watermark. At the end, lots of simulated results are given to prove the performance and potential application of our system compared with other relevant systems.A novel digital audio watermarking technique based on SVM(Support Vector Machine) is proposed in this paper. The main idea of the method is that the retrieval of embedded watermark can be considered as a two-class problem, and SVM can be used to learn the characteristics of the embedded watermark in audio. Due to the SVM possessing the learning and adaptive capabilities, It almost exactly recovers the watermark from the watermarked audio.