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General Steganalysis Method of Compressed Speech Under Different Standards

Peng Liu1, Songbin Li1,*, Qiandong Yan1, Jingang Wang1, Cheng Zhang2

1 Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China
2 The University of Melbourne, Melbourne, VIC3010, Australia

* Corresponding Author: Songbin Li. Email: email

Computers, Materials & Continua 2021, 68(2), 1565-1574.


Analysis-by-synthesis linear predictive coding (AbS-LPC) is widely used in a variety of low-bit-rate speech codecs. Most of the current steganalysis methods for AbS-LPC low-bit-rate compressed speech steganography are specifically designed for a specific coding standard or category of steganography methods, and thus lack generalization capability. In this paper, a general steganalysis method for detecting steganographies in low-bit-rate compressed speech under different standards is proposed. First, the code-element matrices corresponding to different coding standards are concatenated to obtain a synthetic code-element matrix, which will be mapped into an intermediate feature representation by utilizing the pre-trained dictionaries. Then, bidirectional long short-term memory is employed to capture long-term contextual correlations. Finally, a code-element affinity attention mechanism is used to capture the global inter-frame context, and a full connection structure is used to generate the prediction result. Experimental results show that the proposed method is effective and better than the comparison methods for detecting steganographies in cross-standard low-bit-rate compressed speech.


Cite This Article

APA Style
Liu, P., Li, S., Yan, Q., Wang, J., Zhang, C. (2021). General steganalysis method of compressed speech under different standards. Computers, Materials & Continua, 68(2), 1565-1574.
Vancouver Style
Liu P, Li S, Yan Q, Wang J, Zhang C. General steganalysis method of compressed speech under different standards. Comput Mater Contin. 2021;68(2):1565-1574
IEEE Style
P. Liu, S. Li, Q. Yan, J. Wang, and C. Zhang "General Steganalysis Method of Compressed Speech Under Different Standards," Comput. Mater. Contin., vol. 68, no. 2, pp. 1565-1574. 2021.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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