Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5613
Full metadata record
DC FieldValueLanguage
dc.contributor.authorUzun, Erkam-
dc.contributor.authorSencar, Hüsrev Taha-
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.2012.6204616-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5613-
dc.description.abstractWe propose an automated technique that uses perceptual and non-perceptual audio quality measures for discrimination of speech and music signals with high accuracy. Deployed audio quality measures used for characterization of audio are obtained via de-noising of the original audio. The underlying idea of the approach is that de-noising operation affects speech and music signals in a different and consistent manner and these differences can be captured by the audio quality metrics. Obtained quality measures are then used in conjunction with a machine learning classifier to statistically model speech and music signals. To determine the accuracy of the proposed method, tests have been performed on different datasets with and without audio compression. © 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 audios containing speech and musicen_US
dc.title.alternativeKonuşma ve müzi?k i?çeren sesleri?n ayriştirilmasien_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-s2.0-84863451988en_US
dc.institutionauthorSencar, Hüsrev Taha-
dc.identifier.doi10.1109/SIU.2012.6204616-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference2012 20th Signal Processing and Communications Applications Conference, SIU 2012en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
item.cerifentitytypePublications-
item.languageiso639-1tr-
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
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

2
checked on Mar 23, 2024

Page view(s)

40
checked on Mar 25, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.