An Effective Audio Watermarking using DWT-SVD

Abstract

Audio watermarking has been proved as a powerful tool against illegal manipulation of audio products. It is generally used as a multimedia copyright protection tool. In this paper, we propose an audio watermarking algorithm based on two mathematical functions: Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). These algorithms performance is validated in the presence of the standard watermarking attacks. A new audio signal framing, DWT matrix formation and embedding methods are proposed and successfully implemented to improve the quality of watermarked audio. Natural variability of speech features allows watermarking alterations to be imperceptible to the human observer. On the other hand, significance of these features makes the system robust to common signal processing operations.