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200 00$aExplosion source phenomenology
210 31$a[Place of publication not identified]$cAmerican Geophysical Union$d1991
225 0 $aGeophysical monograph  Explosion source phenomenology 
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a0-87590-031-3 
606   $aUnderground nuclear explosions$xCongresses$xDetection
606   $aSeismology$xCongresses
606   $aMilitary & Naval Science$2HILCC
606   $aLaw, Politics & Government$2HILCC
606   $aMilitary Engineering$2HILCC
615  0$aUnderground nuclear explosions$xCongresses$xDetection
615  0$aSeismology$xCongresses
615  7$aMilitary & Naval Science
615  7$aLaw, Politics & Government
615  7$aMilitary Engineering
676   $a623/.737
702   $aRichards$b Paul G
702   $aPatton$b Howard J
702   $aTaylor$b Steven R
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996   $aExplosion source phenomenology$92280180
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200 00$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
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996   $aModels and analysis of vocal emissions for biomedical applications$91975141
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