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101 0 $aeng
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181   $ctxt$2rdacontent
182   $cn$2rdamedia
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200 00$aModels and analysis of vocal emissions for biomedical applications $e5th International Workshop: December 13-15, 2007, Firenze, Italy /$fedited by Claudia Manfredi
210  1$aFirenze :$cFirenze University Press,$d2007
215   $a1 online resource (252 pages) $cillustrations; digital, PDF file(s)
225 1 $aAtti ;$v33
311 08$aPrint version: 9788884536733 
320   $aIncludes bibliographical references and index.
330   $aThe effectiveness of ten different feature sets in classification of voice recordings of the sustained phonation of the vowel sound /a/ into a healthy and pathological classes is investigated as well as a non approach to building a sequential committee of support vector machines (SVM) for the classifications is proposed. The optimal values of hyperparameters of the committee and the feature sets providing the best performance are found during the genetic search. In the experimental investigations performed using 444 voice recordings of the sustained phonation of the vowel sound /a/ coming from 148 subjects, three recordings from each subject, the correct classification rate of over 92 % was obtained. The classification accuracy has been compared with the accuracy obtained from four human experts.
410  0$aAtti ;$v33.
606   $aBiomedical engineering
608   $bElectronic books.
615  0$aBiomedical engineering.
676   $a610.28
702   $aManfredi$b Claudia
801  2$bUkMaJRU
906   $aBOOK
912   $a9910774883703321
996   $aModels and analysis of vocal emissions for biomedical applications$91975141
997   $aUNINA