Ses kodlayicilarinin kodlama özelli̇kleri̇ne göre siniflandirilmasi

Translated title of the contribution: Classification of audio codecs based on coding characteristics

Samet Hiçsönmez*, Hüsrev T. Sencar, Ismail Avcibaş

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

We propose a fast, simple and new method for identification of audio codecs that does not require decoding of coded audio data. The method uses chaotic and randomness features of coded audio to build models associated with different codecs. The most important features of the method are operating on just a few kilobytes of data sampled randomly from audio file and assuming no knowledge on encoding structure of a codec. These two features make it fast and simple. Experiments are performed on both singly coded and transcoded audio samples to measure accuracy of the technique.

Translated title of the contributionClassification of audio codecs based on coding characteristics
Original languageTurkish
Title of host publication2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 20th Signal Processing and Communications Applications Conference, SIU 2012 - Fethiye, Mugla, Turkey
Duration: 18 Apr 201220 Apr 2012

Publication series

Name2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings

Conference

Conference2012 20th Signal Processing and Communications Applications Conference, SIU 2012
Country/TerritoryTurkey
CityFethiye, Mugla
Period18/04/1220/04/12

Fingerprint

Dive into the research topics of 'Classification of audio codecs based on coding characteristics'. Together they form a unique fingerprint.

Cite this