Improved emotion recognition using Gaussian mixture model and extreme learning machine in speech and glottal signals

Basit Öğe Kaydı
dc.authorid0000-0002-8929-3473en_US
dc.authorid0000-0003-1840-9958en_US
dc.authorid0000-0002-9782-9688
dc.contributor.authorMuthusamy, Hariharan
dc.contributor.authorPolat, Kemal
dc.contributor.authorYaacob, Sazali
dc.date.accessioned2021-06-23T19:42:33Z
dc.date.available2021-06-23T19:42:33Z
dc.date.issued2015
dc.departmentBAİBÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description.abstractRecently, researchers have paid escalating attention to studying the emotional state of an individual from his/her speech signals as the speech signal is the fastest and the most natural method of communication between individuals. In this work, new feature enhancement using Gaussian mixture model (GMM) was proposed to enhance the discriminatory power of the features extracted from speech and glottal signals. Three different emotional speech databases were utilized to gauge the proposed methods. Extreme learning machine (ELM) and k-nearest neighbor (kNN) classifier were employed to classify the different types of emotions. Several experiments were conducted and results show that the proposed methods significantly improved the speech emotion recognition performance compared to research works published in the literature.en_US
dc.identifier.doi10.1155/2015/394083
dc.identifier.issn1024-123X
dc.identifier.issn1563-5147
dc.identifier.scopus2-s2.0-84925324945en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1155/2015/394083
dc.identifier.urihttps://hdl.handle.net/20.500.12491/8530
dc.identifier.volume2015en_US
dc.identifier.wosWOS:000352381600001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorPolat, Kemal
dc.language.isoenen_US
dc.publisherHindawi Ltden_US
dc.relation.ispartofMathematical Problems In Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGaussian Mixture Modelen_US
dc.subjectExtreme Learning Machine
dc.subjectSpeech and Glottal Signals
dc.subjectImproved Emotion Recognition
dc.titleImproved emotion recognition using Gaussian mixture model and extreme learning machine in speech and glottal signalsen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
hariharan-muthusamy.pdf
Boyut:
2.48 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin/Full Text
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Elektrik Elektronik Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu