Abstract—A robust speech content authentication algorithm against desynchronization attacks is proposed, in order to authenticate the content of digital speech signal. Firstly, the signal is framed, and each frame is divided into two parts. The frame number of each frame, as the watermark bit, is embedded into the first and second part by quantizing Bessel-Fourier moments of the correspond signals. The content of each frame is authenticated by comparing with the watermark bits extracted from the first and second part. Experiment results shown that the authentication scheme against desynchronization attacks proposed is effective. And comparing with some existing schemes, the performance of scheme is improved.

Index Terms—Speech watermarking, tamper detection, content authentication, bessel-fourier moments

Cite: Bin Han and Enjie Gou, "A Robust Speech Content Authentication Algorithm Against Desynchronization Attacks," Journal of Communications, vol. 9, no. 9, pp. 723-728, 2014. Doi: 10.12720/jcm.9.9.723-728