Publications:Fusing voice and query data for non-invasive detection of laryngeal disorders

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Title Fusing voice and query data for non-invasive detection of laryngeal disorders
Author Evaldas Vaiciukynas and Antanas Verikas and Adas Gelzinis and Marija Bacauskiene and Jonas Minelga and Magnus Clarin and Evaldas Padervinskis and Virgilijus Uloza
Year 2015
PublicationType Journal Paper
Journal Expert systems with applications
HostPublication
Conference
DOI http://dx.doi.org/10.1016/j.eswa.2015.07.001
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:855194
Abstract 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/).