计算机科学 ›› 2011, Vol. 38 ›› Issue (1): 217-220.

• 人工智能 • 上一篇    下一篇

基于脉冲位置参数统计特征的压缩域语音隐写分析

丁琦,平西建   

  1. (解放军信息工程大学信息工程学院 郑州450002);(解放军信息工程大学电子技术学院 郑州450002)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金(60970142)资助。

Steganalysis of Compressed Speech Based on Statistics of Pulse Position Parameters

DING Qi,PING Xi-jian   

  • Online:2018-11-16 Published:2018-11-16

摘要: 针对依合成分析法编码的压缩语音隐写,提出一种基于脉冲位置参数统计特征的隐写分析方法。以G.729编码的压缩语音为例,分析了载体语音和载密语音脉冲位置直方图和0、1出现概率的不同特点,在此基础上提出直方图平坦度这一特征,并采用脉冲位置修正直方图的平坦度、特征函数质心和方差,以及将码流中。和1出现的概率差作为分类特征,用SVM分类器进行隐写分析。实验结果表明,该方法对于G.729编码的压缩域语音隐写分析检测有较高的准确率。该方法也适用于其它使用依合成分析技术编码的压缩域语音隐写的分析。

关键词: 隐写分析,压缩域语音,脉冲位置参数,统计特征

Abstract: For analysis-by-synthesis(AbS) compressed speech a steganalysis method based on statistics of the pulse position parameters was proposed. Speech compressed by G.729 coding algorithm was taken as an example to analyse the characteristic differences of the pulse position parameters of cover and stego speech, and a new feature, the histogram flatness was defined. In the steganalysis method,four statistics including histogram flatness,the center of mass of histogram characteristic function, histogram variance, and the probability difference of 0 and 1,were used as distinguishing features, and SVM classifiers were employed. Experiment results show the proposed algorithm has good performance for steganalysis of speech compressed by G.729 algorithm. As to compressed speech coded by other AbS-based coders, the proposed method is also applicable.

Key words: Steganalysis, Compressed speech, Pulse position parameters, Statistics

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