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Presentation
A Method to Detect AAC Audio Forgery
International Conference on Mobile Multimedia Communications (MOBIMEDIA) (2015)
  • Qingzhong Liu, Sam Houston State University
  • Andrew H. Sung, University of Southern Mississippi
  • Lei Chen, Georgia Southern University
  • Ming Yang, University of Southern Mississippi
  • Zhongxue Chen, Indiana University Bloomington
  • Yanxin Liu, Sam Houston State University
Abstract
Advanced Audio Coding (AAC), a standardized lossy compression scheme for digital audio, which was designed to be the successor of the MP3 format, generally achieves better sound quality than MP3 at similar bit rates. While AAC is also the default or standard audio format for many devices and AAC audio files may be presented as important digital evidences, the authentication of the audio files is highly needed but relatively missing. In this paper, we propose a scheme to expose tampered AAC audio streams that are encoded at the same encoding bit-rate. Specifically, we design a shift-recompression based method to retrieve the differential features between the re-encoded audio stream at each shifting and original audio stream, learning classifier is employed to recognize different patterns of differential features of the doctored forgery files and original (untouched) audio files. Experimental results show that our approach is very promising and effective to detect the forgery of the same encoding bit-rate on AAC audio streams. Our study also shows that shift recompression-based differential analysis is very effective for detection of the MP3 forgery at the same bit rate.
Keywords
  • AAC,
  • Audio forgery
Publication Date
May 26, 2015
Location
Chengdu, China
Citation Information
Qingzhong Liu, Andrew H. Sung, Lei Chen, Ming Yang, et al.. "A Method to Detect AAC Audio Forgery" International Conference on Mobile Multimedia Communications (MOBIMEDIA) (2015)
Available at: http://works.bepress.com/lei-chen/104/