Abstract
MP3 is the most widely used audio format nowadays in our daily life, while MP3 audio often be forged by an audio forger for their own benefits in some significant events, which will cause double MP3 compression. In this paper, the statistical frequency and the transition probability in Markov model are counted based on Huffman code table index, and a support vector machine is applied for classification to detect double MP3 compression. Experimental results demonstrate that the proposed method has low complexity and high accuracy, also the blank with the same bitrate in double MP3 compression detection is made up.
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Acknowledgement
This work is supported by the National Science Foundation of China (61170137), Doctoral Fund of Ministry of Education of China (20103305110002), Zhejiang Province Key Teaching Material Construction project (ZJB2009074), Scientific Research Fund of Zhejiang Provincial Education Department (Y201119434), Zhejiang Scientific and Technical Key Innovation Team of New Generation Mobile Internet Client Software (2010R50009), Open Fund of Zhejiang Provincial Top Key Discipline of Information and Communication Engineering (XKXL1310).
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Ma, P., Wang, R., Yan, D., Jin, C. (2014). A Huffman Table Index Based Approach to Detect Double MP3 Compression. In: Shi, Y., Kim, HJ., Pérez-González, F. (eds) Digital-Forensics and Watermarking. IWDW 2013. Lecture Notes in Computer Science(), vol 8389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43886-2_19
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DOI: https://doi.org/10.1007/978-3-662-43886-2_19
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