02074nam 2200373 450 991077488370332120221206172116.0(CKB)4100000011569377(NjHacI)994100000011569377(EXLCZ)99410000001156937720201117c2007uuuu uu 0enguubu#---uu|uutxtrdacontentnrdamediancrdacarrierModels and analysis of vocal emissions for biomedical applications 5th International Workshop: December 13-15, 2007, Firenze, Italy /edited by Claudia ManfrediFirenze :Firenze University Press,20071 online resource (252 pages) illustrations; digital, PDF file(s)Atti ;33Print version: 9788884536733 Includes bibliographical references and index.The effectiveness of ten different feature sets in classification of voice recordings of the sustained phonation of the vowel sound /a/ into a healthy and pathological classes is investigated as well as a non approach to building a sequential committee of support vector machines (SVM) for the classifications is proposed. The optimal values of hyperparameters of the committee and the feature sets providing the best performance are found during the genetic search. In the experimental investigations performed using 444 voice recordings of the sustained phonation of the vowel sound /a/ coming from 148 subjects, three recordings from each subject, the correct classification rate of over 92 % was obtained. The classification accuracy has been compared with the accuracy obtained from four human experts.Atti ;33.Biomedical engineeringElectronic books.Biomedical engineering.610.28Manfredi ClaudiaUkMaJRUBOOK9910774883703321Models and analysis of vocal emissions for biomedical applications1975141UNINA