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A Speech Content Authentication Algorithm Based on Pseudo-Zernike Moments in DCT Domain

Zhenghui Liu and Hongxia Wang
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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

Abstract: 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.

Date: 2013
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