Detecting double compression of audio signal

Rui Yang; Yun Q. Shi; Jiwu Huang

doi:10.1117/12.838695

27 January 2010 Detecting double compression of audio signal

Rui Yang, Yun Q. Shi, Jiwu Huang

Proceedings Volume 7541, Media Forensics and Security II; 75410K (2010) https://doi.org/10.1117/12.838695
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

MP3 is the most popular audio format nowadays in our daily life, for example music downloaded from the Internet and file saved in the digital recorder are often in MP3 format. However, low bitrate MP3s are often transcoded to high bitrate since high bitrate ones are of high commercial value. Also audio recording in digital recorder can be doctored easily by pervasive audio editing software. This paper presents two methods for the detection of double MP3 compression. The methods are essential for finding out fake-quality MP3 and audio forensics. The proposed methods use support vector machine classifiers with feature vectors formed by the distributions of the first digits of the quantized MDCT (modified discrete cosine transform) coefficients. Extensive experiments demonstrate the effectiveness of the proposed methods. To the best of our knowledge, this piece of work is the first one to detect double compression of audio signal.

Citation Download Citation

Rui Yang, Yun Q. Shi, and Jiwu Huang "Detecting double compression of audio signal", Proc. SPIE 7541, Media Forensics and Security II, 75410K (27 January 2010); https://doi.org/10.1117/12.838695

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