Robust and imperceptible digital speech watermarking

Abstract

The concept of Speech watermarking has risen to be an efficient and promising solution to safeguard speech signals in today’s world of swiftly advancing communication technologies. In this paper, Robust Principal Component Analysis (RPCA) and Formant Manipulation (FM) have been used to embed the watermark into the host speech signal. RPCA involves obtaining the sparse component of the speech signal for accurate embedding, extraction of the watermark and FM involves modifying the formants by exploiting the properties of Line Spectral Frequencies (LSFs). A non-blind watermark detection scheme has been proposed to detect the watermark which demonstrates better stability and accuracy. Results of performance evaluation reveal that the proposed technique is robust and the watermark embedded is imperceptible. Also, the robustness of the method is verified by testing against several speech processing attacks.