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Clustering of voice pathologies based on sustained voice parameters

dc.contributor.authorOliveira, Alessa Anjos de
dc.contributor.authorDajer, Maria
dc.contributor.authorFernandes, Paula Odete
dc.contributor.authorTeixeira, João Paulo
dc.date.accessioned2023-02-10T16:05:28Z
dc.date.available2023-02-10T16:05:28Z
dc.date.issued2020
dc.description.abstractSignal processing techniques can be used to extract information that contribute to the detection of laryngeal disorders. The goal of this paper is to perform a statistical analysis through the boxplot tool from 832 voice signals of individuals with different laryngeal pathologies from the Saarbrücken Voice Database in order to create relevant groups, making feasible an automatic identification of these dysfunctions. Jitter, Shimmer, HNR, NHR and Autocorrelation features were compared between several groups of voice pathologies/conditions, resulting in three identified clusters.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationOliveira, Alessa Anjos de; Dajer, Maria; Fernandes, Paula O.; Teixeira, João Paulo (2020). Clustering of voice pathologies based on sustained voice parameters. In 13th International Joint Conference on Biomedical Engineering Systems and Technologies. Malta. ISSN 2184-4305. 4: p. 280-287pt_PT
dc.identifier.doi10.5220/0009146202800287pt_PT
dc.identifier.issn2184-4305
dc.identifier.urihttp://hdl.handle.net/10198/26898
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectVoice pathologies clusteringpt_PT
dc.subjectClustering with boxplotpt_PT
dc.subjectVoice pathologies analysispt_PT
dc.subjectJitter shimmer HNRpt_PT
dc.subjectAutocorrelation statistical analysispt_PT
dc.titleClustering of voice pathologies based on sustained voice parameterspt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceMaltapt_PT
oaire.citation.endPage287pt_PT
oaire.citation.startPage280pt_PT
oaire.citation.title13th International Joint Conference on Biomedical Engineering Systems and Technologiespt_PT
oaire.citation.volume4pt_PT
person.familyNameFernandes
person.familyNameTeixeira
person.givenNamePaula Odete
person.givenNameJoão Paulo
person.identifierN-3804-2013
person.identifier663194
person.identifier.ciencia-id991D-9D1E-D67D
person.identifier.ciencia-id4F15-B322-59B4
person.identifier.orcid0000-0001-8714-4901
person.identifier.orcid0000-0002-6679-5702
person.identifier.ridN-6576-2013
person.identifier.scopus-author-id35200741800
person.identifier.scopus-author-id57069567500
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication2269147c-2b53-4d1c-bc1b-f1367d197262
relation.isAuthorOfPublication33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isAuthorOfPublication.latestForDiscovery2269147c-2b53-4d1c-bc1b-f1367d197262

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