G.729A Pitch Modulation Information Hiding Detection Based on Symbiotic Characteristics
JIA Yi-zhen2, LI Song-bin1, JIANG Yu-xin1, DAI Qiong-xing1, DENG Hao-jiang3
1. Haikou Laboratory, Institute of Acoustics, Chinese Academy of Sciences, Haikou, Hainan 570105, China;
2. College of Information Science and Technology, Hainan University, Haikou, Hainan 570228, China;
3. National Network New Media Engineering Research Center, Beijing 100190, China
A detection algorithm of pitch modulation information hiding in G.729A low bit-rate speech codec is proposed.The analysis of speech stream showed that pith modulation information hiding would change the pitch symbiotic characteristics of adjacent speech frames.We designed a model to quantify these pitch symbiotic characteristics for steganalysis.However, the dimension of quantitative feature vector of pitch symbiotic characteristics was too high, so PCA (Principal Component Analysis) was employed to reduce the dimension of the feature vector.Finally, we built a pitch modulation information hiding detector based on the dimension reduced feature vector and SVM (Support Vector Machine) classifier.Experiments on different speech datasets show that the proposed steganalysis algorithm is very effective: the accuracy is more than 96% when speech length equals to or is greater than 2s.So this paper gives an effective method for compression domain information hiding detection.
贾已真, 李松斌, 蒋雨欣, 戴琼兴, 邓浩江. 基于共生特性的G.729A基音调制信息隐藏的检测[J]. 电子学报, 2015, 43(8): 1513-1517.
JIA Yi-zhen, LI Song-bin, JIANG Yu-xin, DAI Qiong-xing, DENG Hao-jiang. G.729A Pitch Modulation Information Hiding Detection Based on Symbiotic Characteristics. Chinese Journal of Electronics, 2015, 43(8): 1513-1517.
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2015, Vol. 43 
