Steganalysis of Compressed Speech Based on Histogram Features
Steganalysis of Compressed Speech Based on Histogram Features
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DOI：
10.1109/wicom.2010.5600125
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发表时间：
2010-10
期刊：
影响因子：
--
通讯作者：
Qi Ding;X. Ping
中科院分区：
文献类型：
--
作者：
Qi Ding;X. Ping
提出了一种基于脉冲位置参数直方图特征的合成分析压缩语音隐写分析方法。以G.729语音压缩为例说明了该算法。在分析掩盖和隐写语音脉冲位置直方图特征的基础上，提出了一种新的特征--直方图平坦度。此外，我们使用直方图平坦度，直方图特征函数的质心，和直方图方差作为分类特征，并采用SVM分类器分类语音的封面和隐写数据。实验结果表明，该算法对G.729压缩语音的隐写分析具有良好的性能。该方法也可以推广到其他基于AbS的压缩语音编码器。
A steganalysis method for analysis-by-synthesis compressed speech based on the histogram features of the pulse position parameter is proposed in this paper. Speech compressed by G.729 coder is taken as an example to illuminate the algorithm. On the basis of analysis to the pulse position histogram characters of cover and stego speech, a new feature, histogram flatness is proposed. Furthermore, we use histogram flatness, the center of mass of histogram characteristic function, and histogram variance as classifying features, and employ SVM classifiers to classify speech into cover and stego data. Experiment results show the proposed algorithm has good performance for steganalysis of speech compressed by G.729 coders. This method can be also extended to compressed speech coded by other AbS-based coders.