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G.729A Pitch ModuIation Information Hiding Detection Based on Symbiotic Characteristics
Author(s): 
Pages: 1513-1517
Year: Issue:  8
Journal: Acta Electronica Sinica

Keyword:  pitch modulation information hidingsymbiotic characteristicssteganography detectionprincipal component analysis (PCA)support vector machine (SVM);
Abstract: 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 dimen-sion of quantitative feature vector of pitch symbiotic characteristics was too high,so PCA (Principal Component Analysis)was em-ployed 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.
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