Abstract As an important branch of audio forensics, audio compression history detection is of great significance for audio tampering and forgery detection. In this paper, a WAV audio compression history detection algorithm is proposed based on the statistics of the phase spectrum differences. The mean, the variance and the kurtosis of phase spectrum differences are utilized as the detection features. The proposed algorithm can determine whether the suspicious WAV audio is compressed and decompressed by any of the four popular encoders. Furthermore, the bit rate used in the compression can also be estimated. Experimental results show that the performance of the proposed algorithm is better than that of state-of-the-art detection algorithms.
Fund:Supported by National Natural Science Foundation of China (No.61300055,61301247), Natural Science Foundation of Zhejiang Province (No.LZ15F020002)
About author:: (ZHOU Jinglei， born in 1991， master student. Her research interests include digital audio compression history detection.) (WANG Rangding(Corresponding author)， born in 1962， Ph.D.， professor. His research interests include information hiding， digital forensic and digital watermarking.) (JING Chao， born in 1990， Ph.D.candidate. His research interests include digital audio forensic and speech signal processing.) (YAN Diqun， born in 1979， Ph.D.， associate professor. His research interests include security of multimedia content and deep learning.)(CHEN Yanan， born in 1990， master student. Her research interests include recaptured audio detection.)
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2016, Vol. 29 
