Evaluation of Single-Channel Speech Enhancement Algorithms by Using Objective Quality and Intelligibility Measures

dc.authorwosidArslan, Özkan/ABA-6567-2020
dc.contributor.authorArslan, Özkan
dc.contributor.authorEngin, Erkan Zeki
dc.date.accessioned2022-05-11T14:17:40Z
dc.date.available2022-05-11T14:17:40Z
dc.date.issued2018
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği Bölümü
dc.description26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY
dc.description.abstractIn this study, single-channel speech enhancement algorithms were evaluated with objective quality and objective intelligibility measures using Turkish speech database. The clean 30 sentences from the METU database are corrupted by car and babble noise types at -10, -5, 0, 5 and 10 dB SNR levels. The Karhunen-Loeve Transform has been found to be more successful than other methods in terms of both quality and intelligibility, given the amount of segmental SNR improvement, weighted spectral slope, short-time objective intelligibility values and spectrogram representations.
dc.description.sponsorshipIEEE, Huawei, Aselsan, NETAS, IEEE Turkey Sect, IEEE Signal Proc Soc, IEEE Commun Soc, ViSRATEK, Adresgezgini, Rohde & Schwarz, Integrated Syst & Syst Design, Atilim Univ, Havelsan, Izmir Katip Celebi Univ
dc.identifier.isbn978-1-5386-1501-0
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6439
dc.identifier.wosWOS:000511448500197
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.institutionauthorArslan, Özkan
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2018 26th Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectspeech enhancement
dc.subjectobjective quality
dc.subjectshort-time objective intelligibility
dc.titleEvaluation of Single-Channel Speech Enhancement Algorithms by Using Objective Quality and Intelligibility Measures
dc.typeConference Object

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