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Classification of control/pathologic subjects with support vector machines

2018Comunicação em conferência Acesso aberto
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dc.contributor.authorTeixeira, Felipe
dc.contributor.authorFernandes, Joana Filipa Teixeira
dc.contributor.authorGuedes, Victor
dc.contributor.authorCandido Junior, Arnaldo
dc.contributor.authorTeixeira, João Paulo
dc.date.accessioned2020-04-23T09:00:25Z
dc.date.available2020-04-23T09:00:25Z
dc.date.issued2018
dc.description.abstractThe diagnosis of pathologies using vocal acoustic analysis has the advantage of been noninvasive and inexpensive technique compared to traditional technique in use. In this work the SVM were experimentally tested to diagnose dysphonia, chronic laryngitis or vocal cords paralysis. Three groups of parameters were experimented. Jitter, shimmer and HNR, MFCCs extracted from a sustained vowels and MFCC extracted from a short sentence. The first group showed their importance in this type of diagnose and the second group showed low discriminative power. The SVM functions and methods were also experimented using the dataset with and without gender separation. The best accuracy was 71% using the jitter, shimmer and HNR parameters without gender separation.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTeixeira, Felipe; Fernandes, Joana; Guedes, Vitor; Junior, Arnaldo; Teixeira, João Paulo (2018). Classification of control/pathologic subjects with support vector machines. In International Conference on ENTERprise Information Systems / International Conference on Project MANagement. Lisbon; Portugal.138, p. 272-279.pt_PT
dc.identifier.doi10.1016/j.procs.2018.10.039pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/21791
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectVocal acoustic analysispt_PT
dc.subjectMFCCspt_PT
dc.subjectJitterpt_PT
dc.subjectShimmerpt_PT
dc.subjectHNRpt_PT
dc.subjectSVM functionspt_PT
dc.subjectSVM methodspt_PT
dc.titleClassification of control/pathologic subjects with support vector machinespt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceLisbon; Portugalpt_PT
oaire.citation.endPage279pt_PT
oaire.citation.startPage272pt_PT
oaire.citation.titleInternational Conference on ENTERprise Information Systems / International Conference on Project MANagementpt_PT
oaire.citation.volume138pt_PT
person.familyNameTeixeira
person.familyNameFernandes
person.familyNameTeixeira
person.givenNameFelipe
person.givenNameJoana Filipa Teixeira
person.givenNameJoão Paulo
person.identifierABC-9055-2020
person.identifier663194
person.identifier.ciencia-id0E17-62FB-AA17
person.identifier.ciencia-idAE12-440A-299D
person.identifier.ciencia-id4F15-B322-59B4
person.identifier.orcid0000-0002-0618-4627
person.identifier.orcid0000-0002-6679-5702
person.identifier.ridN-6576-2013
person.identifier.scopus-author-id57069567500
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication764c5209-b9ab-479e-b5be-59fbe07c784b
relation.isAuthorOfPublicationa6f7a119-fbc9-439f-8dd9-0bbc9ec82fad
relation.isAuthorOfPublication33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isAuthorOfPublication.latestForDiscovery764c5209-b9ab-479e-b5be-59fbe07c784b

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