Double Compressed AMR Audio Detection Using Long-Term Features and Deep Neural Networks

Basit Öğe Kaydı
dc.authorid0000-0002-6404-1499en_US
dc.contributor.authorBüker, Aykut
dc.contributor.authorHanilçi, Cemal
dc.date.accessioned2021-03-20T20:12:46Z
dc.date.available2021-03-20T20:12:46Z
dc.date.issued2019
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description11th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 28-30, 2019 -- Bursa, TURKEYen_US
dc.description.abstractDetecting double compressed audio files is an important problem for audio forensics applications such as audio forgery detection and determining the authenticity of an audio file appearing as an evidence. In this paper, we focus on detecting double compressed adaptive multi-rate (AMR) audio using deep neural network (DNN) classifier and long-term average spectrum (LTAS) and long-term average cepstrum (LTAC) features. Experiments conducted on TIMIT database show that compression rate has a significant impact on the performance. LTAS and LTAC features yield similar performance with slight differences. Removing unvoiced audio frames is found to reduce the detection accuracy and multi-condition training does not bring any performance improvement.en_US
dc.description.sponsorshipChamber Elect Engineers Bursa Branch, Bursa Uludag Univ, Dept Elect Elect Engn, Istanbul Tech Univ, Fac Elect & Elect Engn, IEEE Turkey Secten_US
dc.identifier.endpage594en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage590en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/691
dc.identifier.wosWOS:000552654100116en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorBüker, Aykut
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 11Th International Conference On Electrical And Electronics Engineering (Eleco 2019)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titleDouble Compressed AMR Audio Detection Using Long-Term Features and Deep Neural Networksen_US
dc.typeConference Objecten_US

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