Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5612
Title: Classification of audio codecs based on coding characteristics
Other Titles: Ses kodlayicilarinin kodlama özelli?kleri?ne göre siniflandirilmasi
Authors: Hiçsönmez S.
Sencar, Hüsrev Taha
Avcibaş I.
Issue Date: 2012
Source: 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, 18 April 2012 through 20 April 2012, Fethiye, Mugla, 90786
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. © 2012 IEEE.
URI: https://doi.org/10.1109/SIU.2012.6204651
https://hdl.handle.net/20.500.11851/5612
ISBN: 9781467300568
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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