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Evaluation of single-channel speech enhancement algorithms by using objective quality and intelligibility measures

dc.contributor.authorArslan, Özkan
dc.contributor.authorEngin, Erkan Zeki
dc.date.accessioned2022-05-11T14:17:41Z
dc.date.available2022-05-11T14:17:41Z
dc.date.issued2018
dc.identifier.isbn9781538615010
dc.identifier.urihttps://doi.org/10.1109/SIU.2018.8404344
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6440
dc.descriptionAselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netasen_US
dc.description26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780en_US
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. © 2018 IEEE.en_US
dc.language.isoturen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.identifier.doi10.1109/SIU.2018.8404344
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectObjective qualityen_US
dc.subjectShort-time objective intelligibilityen_US
dc.subjectSpeech enhancementen_US
dc.subjectMathematical transformationsen_US
dc.subjectPrincipal component analysisen_US
dc.subjectQuality controlen_US
dc.subjectSignal processingen_US
dc.subjectSignal to noise ratioen_US
dc.subjectSpeech intelligibilityen_US
dc.subjectSpeech recognitionen_US
dc.subjectBabble noiseen_US
dc.subjectKarhunen Loeve Transform (KLT)en_US
dc.subjectObjective qualitiesen_US
dc.subjectSingle-channel speech enhancement algorithmsen_US
dc.subjectSNR improvementen_US
dc.subjectSpectral slopesen_US
dc.subjectSpectrogramsen_US
dc.subjectSpeech databaseen_US
dc.subjectSpeech enhancementen_US
dc.titleEvaluation of single-channel speech enhancement algorithms by using objective quality and intelligibility measuresen_US
dc.title.alternativeTek-Kanal Konusma Iyilestirme Algoritmalarinin Nesnel Kalite ve Anlasilabilirlik Ölçütleri ile Degerlendirilmesi]en_US
dc.typeconferencePaperen_US
dc.relation.ispartof26th IEEE Signal Processing and Communications Applications Conference, SIU 2018en_US
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği Bölümüen_US
dc.identifier.startpage1en_US
dc.identifier.endpage4en_US
dc.institutionauthorArslan, Özkan
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorscopusid57203165669
dc.authorscopusid7801396079
dc.identifier.scopus2-s2.0-85050796155en_US


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