@inproceedings{5dcf3fe0345b4fcb9e1abfb810b58f9e,
title = "Detecting double compression of audio signal",
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.",
keywords = "Audio forensics, Double MP3 compression, First digit law, MDCT coefficients",
author = "Rui Yang and Shi, {Yun Q.} and Jiwu Huang",
year = "2010",
doi = "10.1117/12.838695",
language = "English (US)",
isbn = "9780819479341",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Proceedings of SPIE-IS and T Electronic Imaging - Media Forensics and Security II",
note = "Media Forensics and Security II ; Conference date: 18-01-2010 Through 20-01-2010",
}