A Huffman Table Index Based Approach to Detect Double MP3 Compression

摘要

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.