General Steganalysis Method of Compressed Speech Under Different Standards

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.