Share Email Print
cover

Proceedings Paper

Detecting double compression of audio signal
Author(s): Rui Yang; Yun Q. Shi; Jiwu Huang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 27 January 2010
PDF: 10 pages
Proc. SPIE 7541, Media Forensics and Security II, 75410K (27 January 2010); doi: 10.1117/12.838695
Show Author Affiliations
Rui Yang, Sun Yat-Sen Univ. (China)
New Jersey Institute of Technology (United States)
Yun Q. Shi, New Jersey Institute of Technology (United States)
Jiwu Huang, Sun Yat-Sen Univ. (China)


Published in SPIE Proceedings Vol. 7541:
Media Forensics and Security II
Nasir D. Memon; Jana Dittmann; Adnan M. Alattar; Edward J. Delp, Editor(s)

© SPIE. Terms of Use
Back to Top