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

Fan Zhang, Zhenghui Liu and Hongxia Wang
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Fan Zhang: Xinyang Normal University, Xinyang, China
Zhenghui Liu: Xinyang Normal University, Xinyang, China
Hongxia Wang: School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

International Journal of Digital Crime and Forensics (IJDCF), 2015, vol. 7, issue 3, 19-36

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.

Date: 2015
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