An Efficient Speech Content Authentication Algorithm Based on Coefficients Self-correlation Degree

摘要

In this paper, the definition of coefficients self-correlation degree is given. Based on coefficients self-correlation degree, an efficient speech content authentication algorithm is proposed, which is aimed at some shortcomings in the existing content-based speech content authentication schemes. At the same time, the frequency domain watermark embedding method of pseudo-Zernike moments based on discrete cosine transform is given. Watermark bit is generated by coefficients self-correlation degree and embedded by quantizing the pseudo-Zernike moments of discrete cosine transform domain low-frequency coefficients. Compared with the existing audio watermark algorithms based on pseudo-Zernike moments, the algorithm increases the embedding capacity and improves the efficiency greatly. Experimental evaluation results show that the proposed scheme is effective.