An efficient algorithm for double compressed AAC audio detection

作者：Jin, Chao; Wang, Rangding^*; Yan, Diqun; Ma, Pengfei; Zhou, Jinglei

来源：Multimedia Tools and Applications, 2016, 75(8): 4815-4832.

DOI：10.1007/s11042-015-2552-2

• AAC
• Huffman codebook index
• Double compression detection
• Probability values
• Markov model

As a new generation of compression encoding standard, MPEG-2/4 Advanced Audio Coding (AAC) would be a widely-used audio format in the near future. However, these AAC audios often be forged by audio forgers for their own benefits in some significant events, which will cause double AAC compression. In this paper, the probability values and Markov features based on the Huffman codebook indexes of AAC audio were constructed and an efficient algorithm is proposed to detect double compression. Experimental results demonstrate that our method has high detection accuracy and low computational complexity. To the best of our knowledge, it is the first time to apply double compression detection to AAC audio forensics.

• 出版日期2016-4
• 单位宁波大学