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

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

Zhenghui Liu, Hongxia Wang
Copyright: © 2013 |Volume: 5 |Issue: 3 |Pages: 20
ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781466633964|DOI: 10.4018/jdcf.2013070102
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MLA

Liu, Zhenghui, and Hongxia Wang. "A Speech Content Authentication Algorithm Based on Pseudo-Zernike Moments in DCT Domain." IJDCF vol.5, no.3 2013: pp.15-34. http://doi.org/10.4018/jdcf.2013070102

APA

Liu, Z. & Wang, H. (2013). A Speech Content Authentication Algorithm Based on Pseudo-Zernike Moments in DCT Domain. International Journal of Digital Crime and Forensics (IJDCF), 5(3), 15-34. http://doi.org/10.4018/jdcf.2013070102

Chicago

Liu, Zhenghui, and Hongxia Wang. "A Speech Content Authentication Algorithm Based on Pseudo-Zernike Moments in DCT Domain," International Journal of Digital Crime and Forensics (IJDCF) 5, no.3: 15-34. http://doi.org/10.4018/jdcf.2013070102

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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.

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