INCREASING ROBUSTNESS OF I-VECTORS VIA MASKING: A CASE STUDY IN SYNTHETIC SPEECH DETECTION

Basit Öğe Kaydı
dc.contributor.authorAydın, Barış
dc.contributor.authorDişken, Gökay
dc.date.accessioned2025-01-06T17:22:39Z
dc.date.available2025-01-06T17:22:39Z
dc.date.issued2024
dc.departmentAdana Alparslan Türkeş Bilim ve Teknoloji Üniversitesi
dc.description.abstractEnsuring security in speaker recognition systems is crucial. In the past years, it has been demonstrated that spoofing attacks can fool these systems. In order to deal with this issue, spoof speech detection systems have been developed. While these systems have served with a good performance, their effectiveness tends to degrade under noise. Traditional speech enhancement methods are not efficient for improving performance, they even make it worse. In this research paper, performance of the noise mask obtained via a convolutional neural network structure for reducing the noise effects was investigated. The mask is used to suppress noisy regions of spectrograms in order to extract robust i-vectors. The proposed system is tested on the ASVspoof 2015 database with three different noise types and accomplished superior performance compared to the traditional systems. However, there is a loss of performance in noise types that are not encountered during training phase.
dc.identifier.doi10.17482/uumfd.1311113
dc.identifier.endpage204
dc.identifier.issn2148-4147
dc.identifier.issn2148-4155
dc.identifier.issue1
dc.identifier.startpage191
dc.identifier.trdizinid1260382
dc.identifier.urihttps://doi.org/10.17482/uumfd.1311113
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1260382
dc.identifier.urihttps://hdl.handle.net/20.500.14669/435
dc.identifier.volume29
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofUludağ Üniversitesi Mühendislik Fakültesi Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectDeep learning
dc.subjectconvolutional neural network
dc.subjectspoof detection
dc.subjectspeaker recognition
dc.subjectrobust features
dc.titleINCREASING ROBUSTNESS OF I-VECTORS VIA MASKING: A CASE STUDY IN SYNTHETIC SPEECH DETECTION
dc.typeArticle

Dosyalar

Koleksiyon

TR-Dizin İndeksli Yayınlar Koleksiyonu