DWT-SVD based blind audio watermarking scheme for copyright protection

It is always necessary to protect copyrights of multi-media data in order to prevent misuse and to reduce the loss caused by piracy. So, it is necessary to find methods for copyright protection. Traditionally for audio, images and video this is achieved by digital watermarking. The watermark could be either a logo or some unique binary pattern and is associated with a rightful owner. In this paper we propose a new blind audio watermarking method using discrete wavelet transform (DWT) and singular value decomposition (SVD). This method embeds each bit of the watermark to one of the Eigen values of the audio frame in DWT and SVD space and robustly retrieves the watermark to prove the ownership without requiring original audio. The proposed blind audio watermarking method is robust to various compression formats, sampling rate changes and signal processing attacks and we proved this through simulation results.