A Speech Content Authentication Algorithm Based on Pseudo-Zernike Moments in DCT Domain
Zhenghui Liu and
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Zhenghui Liu: School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China
Hongxia Wang: School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China
International Journal of Digital Crime and Forensics (IJDCF), 2013, vol. 5, issue 3, 15-34
A speech content authentication algorithm based on pseudo-Zernike moments in DCT domain is proposed in this paper, which is aimed at some shortcomings in some existing digital watermark schemes. The definition of coefficients self-correlation degree is given. Then the frequency domain watermark embedding method based on pseudo-Zernike moments in DCT domain is proposed. Watermark bits are generated by coefficients self-correlation degree and embedded by quantizing the pseudo-Zernike moments of DCT domain low-frequency coefficients. Comparing with the existing audio watermark algorithms based on pseudo-Zernike moments, the algorithm increases the watermarking embedding capacity and improves the efficiency greatly. Theoretical analysis and experimental evaluation results show that the proposed speech content authentication algorithm is effective.
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