Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6329
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dc.contributor.authorHiçsönmez, Samet-
dc.contributor.authorSencar, Hüsrev Taha-
dc.contributor.authorAvcıbaş, İsmail-
dc.date.accessioned2021-09-11T15:35:51Z-
dc.date.available2021-09-11T15:35:51Z-
dc.date.issued2013en_US
dc.identifier.issn1051-2004-
dc.identifier.issn1095-4333-
dc.identifier.urihttps://doi.org/10.1016/j.dsp.2013.04.005-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6329-
dc.description.abstractA novel technique is presented to identify the codec of a coded audio. The technique does not perform decoding, utilize any coding metadata, or assume information about the structure describing the bit stream format of a codec. The underlying idea of the technique is that the design choices governing the compression level, audio quality and complexity of a codec will reveal themselves on the coded audio. To exploit this, the technique samples 2-4 kilobytes of data from a coded audio and analyzes the randomness and chaotic nature of the sampled data to build statistical models that represent encoding process associated with different codecs. In experiments, we utilize 16 of the most popular audio codecs used for high quality audio compression and in PSTNs, cellular networks, and VoIP networks by setting encoding parameters of each codec to its most commonly used values. Results show that the codec of an encoded audio can be identified with an accuracy of more than 95 percent. Other experiments considering several transcoding scenarios were also performed. Those results show that the scheme can even discriminate the first encoder of a doubly-encoded audio with an accuracy range of around 80 to 90 percent or more as long as the second codec operates on higher bit rates than the first one. (C) 2013 Elsevier Inc. All rights reserved.en_US
dc.description.sponsorshipScientific and Technological Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [110E049]en_US
dc.description.sponsorshipThis material is based upon work supported by the Scientific and Technological Research Council of Turkey under research grant number 110E049.en_US
dc.language.isoenen_US
dc.publisherAcademic Press Inc Elsevier Scienceen_US
dc.relation.ispartofDigital Signal Processingen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAudio codecsen_US
dc.subjectCodec identificationen_US
dc.subjectPSTNen_US
dc.subjectVoIPen_US
dc.subjectGSMen_US
dc.subjectCompressionen_US
dc.titleAudio Codec Identification From Coded and Transcoded Audiosen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.volume23en_US
dc.identifier.issue5en_US
dc.identifier.startpage1720en_US
dc.identifier.endpage1730en_US
dc.authorid0000-0002-4831-4362-
dc.identifier.wosWOS:000323855500035en_US
dc.identifier.scopus2-s2.0-84882448416en_US
dc.institutionauthorHiçsönmez, Samet-
dc.institutionauthorSencar, Hüsrev Taha-
dc.identifier.doi10.1016/j.dsp.2013.04.005-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
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
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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