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An efficient algorithm for double compressed AAC audio detection
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DOI：10.1007/s11042-015-2552-2.png)
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Abstract
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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.
Keywords:
AAC
Huffman codebook index
Double compression detection
Probability values
Markov model
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