Abstract
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.
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Liu, Z., Wang, H. (2013). An Efficient Speech Content Authentication Algorithm Based on Coefficients Self-correlation Degree. In: Shi, Y.Q., Kim, HJ., Pérez-González, F. (eds) The International Workshop on Digital Forensics and Watermarking 2012. IWDW 2012. Lecture Notes in Computer Science, vol 7809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40099-5_26
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DOI: https://doi.org/10.1007/978-3-642-40099-5_26
Publisher Name: Springer, Berlin, Heidelberg
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