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

作者：Zhenghui Liu; Hongxia Wang

来源：International Journal of Digital Crime and Forensics, 2013, 5(3): 15-34.

DOI：10.4018/jdcf.2013070102

<jats:p>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.</jats:p>

• 出版日期2013-7
• 单位西南交通大学