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.
周劲蕾，王让定，金超，严迪群，陈亚楠. 基于相位谱差值的WAV音频压缩历史检测算法*[J]. 模式识别与人工智能, 2016, 29(4): 376-384.
ZHOU Jinglei, WANG Rangding, JIN Chao, YAN Diqun, CHEN Ya′nan. Compression History Detection for WAV Audio Based on Phase Spectrum Differences. , 2016, 29(4): 376-384.
[1] D′ALESSANDRO B, SHI Y Q. MP3 Bit Rate Quality Detection through Frequency Spectrum Analysis // Proc of the 11th ACM Workshop on Multimedia and Security. Princeton, USA, 2009:57-61. [2] LIU Q Z, SUNG A H, QIAO M Y. Detection of Double MP3 Compression. Cognitive Computation, 2010, 2(4): 291-296. [3] QIAO M Y, SUNG A H, LIU Q Z. Improved Detection of MP3 Double Compression Using Content-Independent Features // Proc of the IEEE International Conference on Signal Processing, Communication and Computing. Kunming, China, 2013. DOI: 10.1109/ICSPCC.2013.6664121. [4] BIANCHI T, DE ROSA A, FONTANI M, et al. Detection and Classification of Double Compressed MP3 Audio Tracks // Proc of the 1st ACM Workshop on Information Hiding and Multimedia Security. Montpellier, France, 2013: 159-164. [5] BIANCHI T, DE ROSA A, FONTANI M, et al. Detection and Localization of Double Compression in MP3 Audio Tracks. EURASIP Journal on Information Security, 2014. DOI: 10.11861/1687-417X-2014-10. [6] MA P F, WANG R D, YAN D Q, et al. A Huffman Table Index Based Approach to Detect Double MP3 Compression // Proc of the 12th International Workshop on Digital-Forensics and Watermar-king. Auckland, New Zealand, 2014: 258-271. [7] LUO D, LUO W Q, YANG R, et al. Compression History Identification for Digital Audio Signal // Proc of the IEEE International Conference on Acoustics, Speech and Signal Processing. Kyoto, Japan, 2012: 1733-1736. [8] LUO D, LUO W Q, YANG R, et al. Identifying Compression History of Wave Audio and Its Applications. ACM Trans on Multimedia Computing, Communications, and Applications, 2014, 10(3): 1-19. [9] OPPENHEIM A V, LIM J S. The Importance of Phase in Signals. Proceedings of the IEEE, 1981, 69(5): 529-541. [10] ALSTERIS L D, PALIWAL K K. Short-Time Phase Spectrum in Speech Processing: A Review and Some Experimental Results. Digital Signal Processing, 2007, 17(3): 578-616. [11] CHANG C C, LIN C J. LIBSVM: A Library for Support Vector Machines [EB/OL]. [2015-04-24]. http://www.csie.ntu.edu.tw/~cjlin/papers/libsvm.pdf.
2016, Vol. 29 
