A Secure Speech Content Authentication Algorithm Based on Discrete Fractional Fourier Transform

Abstract

Watermark schemes content-based provide one way to solve the veracity and integrity of speech content. Some existed content-based schemes are vulnerable to feature-analysed substitution attack. Aiming to solve the problems, a secure speech content authentication algorithm is proposed, on the basic of the undeterminate angle of discrete fractional fourier transform. In the paper, the definition and calculation of discrete fractional fourier transform are given. And the watermark generation method based on discrete fractional fourier transform is analyzed. Frame number and watermark bits are embedded into hybrid domain of scrambled signals. Compared with the existed watermark schemes, the features for watermark generation and embedding are secret, which improves the security of watermark system. Theoretical analysis and experimental evaluation results show that the proposed algorithm is inaudible, robust to desynchronous attacks and has the excellent ability of tamper detection and tamper location.

Speech Content Authentication Scheme based on High-Capacity Watermark Embedding

“…For attacked signal, the expressed meaning is different to the original one. If recipient regards the attacked signal is an authentic one and acts according to the requirements, it may cause serious consequences (Zhang et al, 2015). Fortunately, the forensic technology based on digital watermarking (Akhaee et al, 2010;Pun & Yuan, 2013;Peng et al, 2013, Lei et al, 2013 gives a method to verify the authenticity of speech signal.…”