Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5612
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dc.contributor.authorHiçsönmez S.-
dc.contributor.authorSencar, Hüsrev Taha-
dc.contributor.authorAvcibaş I.-
dc.date.accessioned2021-09-11T15:19:23Z-
dc.date.available2021-09-11T15:19:23Z-
dc.date.issued2012en_US
dc.identifier.citation2012 20th Signal Processing and Communications Applications Conference, SIU 2012, 18 April 2012 through 20 April 2012, Fethiye, Mugla, 90786en_US
dc.identifier.isbn9781467300568-
dc.identifier.urihttps://doi.org/10.1109/SIU.2012.6204651-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5612-
dc.description.abstractWe 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.en_US
dc.language.isotren_US
dc.relation.ispartof2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedingsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleClassification of Audio Codecs Based on Coding Characteristicsen_US
dc.title.alternativeSes Kodlayicilarinin Kodlama Özelli?kleri?ne Göre Siniflandirilmasien_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.scopus2-s2.0-84863492882en_US
dc.institutionauthorHiçsönmez, Samet-
dc.institutionauthorSencar, Hüsrev Taha-
dc.identifier.doi10.1109/SIU.2012.6204651-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference2012 20th Signal Processing and Communications Applications Conference, SIU 2012en_US
item.openairetypeConference Object-
item.languageiso639-1tr-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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