SVD Based Audio Watermarking Using Angle-Quantization

This paper presents a new blind audio watermarking scheme based on singular value decomposition (SVD) using Angle-Quantization. Initially, the original audio is divided into some frames and the samples of each frame are arranged into matrix. SVD is applied to the matrix for each frame. Watermark data is embedded into the angle between the largest singular value and the second largest singular value of each diagonal matrix by quantization. Date payload of the proposed scheme is 172.39 bps. Simulation results confirm the inaudibility and higher robustness against various signal processing attacks for the proposed method.