A novel speech content authentication algorithm based on Bessel–Fourier moments

Abstract

For audio watermark schemes, the method robust against desynchronization attacks based on synchronization codes faces security challenges. In this paper, a content-based method robust against insertion and deletion attacks is given, which is aimed to solve the insecurity problem of synchronization codes embedding, and a speech content authentication algorithm based on Bessel–Fourier moments is proposed. The definition and fast computation of Bessel–Fourier moments of discrete signal are given, and the attack on synchronization codes embedding method is described. For the scheme proposed, the non-synchronized signals caused by desynchronization attack can be re-synchronized by finding the frame that the watermark generated and extracted are equal. Comparing with the synchronization codes embedding method, the scheme not only is robust against insertion and deletion attacks, but also improves the security of watermark system. Theoretical analysis and experimental evaluation results show that the scheme is effective.