Audio codec identification through payload sampling

Samet Hiçsönmez*, Husrev T. Sencar, Ismail Avcibas

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Citations (Scopus)

Abstract

W0065 present a new method for audio codec identification that does not require decoding of coded audio data. The method utilizes randomness and chaotic characteristics of coded audio to build statistical models that represent encoding process associated with different codecs. The method is simple, as it does not assume knowledge on encoding structure of a codec. It is also fast, since it operates on a block of data, which is as small as a few kilobytes, selected randomly from the coded audio. Tests are performed to evaluate the effectiveness of the technique in identification of the codec used in encoding on both singly coded and transcoded audio samples.

Original languageEnglish
Title of host publication2011 IEEE International Workshop on Information Forensics and Security, WIFS 2011
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 IEEE International Workshop on Information Forensics and Security, WIFS 2011 - Iguacu Falls, Brazil
Duration: 29 Nov 20112 Dec 2011

Publication series

Name2011 IEEE International Workshop on Information Forensics and Security, WIFS 2011

Conference

Conference2011 IEEE International Workshop on Information Forensics and Security, WIFS 2011
Country/TerritoryBrazil
CityIguacu Falls
Period29/11/112/12/11

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