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Fusing voice and query data for non-invasive detection of laryngeal disorders
Kaunas University of Technology, Kaunas, Lithuania.
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR Centrum för tillämpade intelligenta system (IS-lab).ORCID-id: 0000-0003-2185-8973
Kaunas University of Technology, Kaunas, Lithuania.
Kaunas University of Technology, Kaunas, Lithuania.
Vise andre og tillknytning
2015 (engelsk)Inngår i: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 42, nr 22, s. 8445-8453Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Topic of this study is exploration and fusion o fnon-invasive measurements for an accurate detection of pathological larynx. Measurements for human subject encompass answers to items of a specific survey and information extracted by the openSMILE toolkit from several audio recordings of sustained phonation (vowel/a/).

sted, utgiver, år, opplag, sider
Kidlington: Pergamon Press, 2015. Vol. 42, nr 22, s. 8445-8453
Emneord [en]
Ensemble methods, Random forest, Variable importance, Imputation, Affinity analysis, Voice pathology detection
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-29487DOI: 10.1016/j.eswa.2015.07.001ISI: 000361923100007Scopus ID: 2-s2.0-84940461705OAI: oai:DiVA.org:hh-29487DiVA, id: diva2:855194
Merknad

Initial results, excluding experiments with imputation and variable importance, were presented in the 14th International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (Vaiciukynas et al., 2015). This research was funded by a grant (No. MIP-075/2015) from the Research Council of Lithuania.

Tilgjengelig fra: 2015-09-19 Laget: 2015-09-19 Sist oppdatert: 2018-03-22bibliografisk kontrollert

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