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An efficient algorithm for double compressed AAC audio detection

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Abstract

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.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 61170137, 61300055, 61301247), Zhejiang Natural Science Foundation (Grant No. LY13F020013), Ningbo Natural Science Foundation (Grant No. 2013A610057, 2013A610059), Ningbo University Fund (Grant No. XKXL1313, XKXL1310) and K.C. Wong Magna Fund in Ningbo University.

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Authors and Affiliations

  1. College of Information Science and Engineering, Ningbo University, Zhejiang, 315211, China

    Chao Jin, Rangding Wang, Diqun Yan, Pengfei Ma & Jinglei Zhou

Authors
  1. Chao Jin
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  2. Rangding Wang
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  3. Diqun Yan
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  4. Pengfei Ma
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  5. Jinglei Zhou
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Correspondence to Rangding Wang.

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Jin, C., Wang, R., Yan, D. et al. An efficient algorithm for double compressed AAC audio detection. Multimed Tools Appl 75, 4815–4832 (2016). https://doi.org/10.1007/s11042-015-2552-2

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  • DOI: https://doi.org/10.1007/s11042-015-2552-2

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