A Speech Content Authentication Algorithm Based on Pseudo-Zernike Moments in DCT Domain-Reference-Cited by-同舟云学术

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

Published:2013-07 Issue:3 Volume:5 Page:15-34
ISSN:1941-6210
Container-title:International Journal of Digital Crime and Forensics
language:en
Short-container-title:

Author:

Liu Zhenghui¹,Wang Hongxia¹

Affiliation:

1. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

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.

Publisher

IGI Global

Subject

Software

Reference25 articles.

1. Chen, N., & Zhu, J. (2008). A multipurpose audio watermarking scheme for copyright protection and content authentication. In Proceedings of the International Conference on Multimedia and Expo (pp.221-224). New York: IEEE Press.

2. Chen, N., Zhu, M. Y., & Liu, S. (2010). A new fragile audio watermarking scheme. In Proceedings of the International Conference on Audio Language and Image Processing (pp. 367-372). New York: IEEE Press.

3. Content-Dependent Watermarking Scheme in Compressed Speech With Identifying Manner and Location of Attacks

4. A Zernike Moment Phase-Based Descriptor for Local Image Representation and Matching

5. Self-learning speaker identification for enhanced speech recognition

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