Voice Gender Recognition Using Deep Learning

Basit Öğe Kaydı
dc.contributor.authorBuyukyilmaz, Mucahit
dc.contributor.authorCibikdiken, Ali Osman
dc.date.accessioned2024-02-23T14:45:27Z
dc.date.available2024-02-23T14:45:27Z
dc.date.issued2016
dc.departmentNEÜen_US
dc.descriptionInternational Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA) -- DEC 18-19, 2016 -- Xiamen, PEOPLES R CHINAen_US
dc.description.abstractIn this article, a Multilayer Perceptron (MLP) deep learning model has been described to recognize voice gender. The data set have 3,168 recorded samples of male and female voices. The samples are produced by using acoustic analysis. An MLP deep learning algorithm has been applied to detect gender-specific traits. Our model achieves 96.74% accuracy on the test data set. Also the interactive web page has been built for recognition gender of voice.en_US
dc.description.sponsorshipNecmettin Erbakan University, BAP Coordination Officeen_US
dc.description.sponsorshipThis work is supported in part by the Necmettin Erbakan University, BAP Coordination Office.en_US
dc.identifier.endpage411en_US
dc.identifier.isbn978-94-6252-284-8
dc.identifier.issn2352-538X
dc.identifier.startpage409en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12452/17446
dc.identifier.volume58en_US
dc.identifier.wosWOS:000429612600090en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherAtlantis Pressen_US
dc.relation.ispartofProceedings Of 2016 International Conference On Modeling, Simulation And Optimization Technologies And Applications (Msota2016)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDeep Learningen_US
dc.subjectVoice Recognitionen_US
dc.subjectMultilayer Perceptron Networksen_US
dc.titleVoice Gender Recognition Using Deep Learningen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu