A novel SVD-based adaptive robust audio watermarking algorithm

To solve the copyright problem of audio data, many singular value decomposition (SVD)-based audio watermarking schemes have been proposed, however, most SVD-based schemes cannot improve the imperceptibility and robustness while guaranteeing a certain embedding capacity. Therefore, we propose a new SVD-based adaptive robust audio watermarking method. In this method, after framing the host audio signal, a discrete wavelet transform (DWT) is performed on each frame, and then the obtained DWT coefficients are divided into two segments using a sub-sampling operation, and the SVD is performed on these two segments and the mean value of the two singular values is calculated. Then the watermark bits are embedded by modifying the singular values of the two segments using differential embedding method. In the above watermark embedding process, the proposed adaptive method generates different sizes of embedding parameters according to the original signal features of each frame to minimize the degradation of perceived quality. During the watermark extraction process, the watermark can still be correctly extracted without the original audio signal and embedding parameters. The experimental results show that the scheme is more robust than existing audio watermarking schemes under various attacks with a certain embedding capacity guaranteed.