Abstract
The MPEG-1 Audio Layer 3 can be recorded as archive and lawful evidence. However, this MP3 audio may often be forged by audio forgers for their own benefits in some significant events, which will cause double MP3 compression. In this paper, the statistical features based on scale factors under long window application in the iterative loop are extracted, and a Support Vector Machine is applied for classification to detect double MP3 compression. Experimental results demonstrate that the proposed method is accurate and effective for double MP3 compression detection at the same-bitrate condition. To the best of our knowledge, it is the first time to include other basic features in addition to MDCT coefficients in the scope of double audio compression detection.
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