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Automatic detection of Parkinson’s disease: an experimental analysis of common speech production tasks used for diagnosis

2017-08-27Conference object Restricted access
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dc.contributor.authorPompili, Anna
dc.contributor.authorAbad, Alberto
dc.contributor.authorRomano, Paolo
dc.contributor.authorMartins, Isabel P
dc.contributor.authorCardoso, Rita
dc.contributor.authorSantos, Helena
dc.contributor.authorCarvalho, Joana
dc.contributor.authorGuimarães, Isabel
dc.contributor.authorFerreira, Joaquim
dc.date.accessioned2022-04-01T11:00:11Z
dc.date.available2022-04-01T11:00:11Z
dc.date.issued2017-08-27
dc.description.abstractParkinson’s disease (PD) is the second most common neurodegenerative disorder of mid-to-late life after Alzheimer’s disease. During the progression of the disease, most individuals with PD report impairments in speech due to deficits in phonation, articulation, prosody, and fluency. In the literature, several studies perform the automatic classification of speech of people with PD considering various types of acoustic information extracted from different speech tasks. Nevertheless, it is unclear which tasks are more important for an automatic classification of the disease. In this work, we compare the discriminant capabilities of eight verbal tasks designed to capture the major symptoms affecting speech. To this end, we introduce a new database of Portuguese speakers consisting of 65 healthy control and 75 PD subjects. For each task, an automatic classifier is built using feature sets and modeling approaches in compliance with the current state of the art. Experimental results permit to identify reading aloud prosodic sentences and story-telling tasks as the most useful for the automatic detection of PD.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doihttps://link.springer.com/chapter/10.1007/978-3-319-64206-2_46pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/39996
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.subjectParkinson’s diseasept_PT
dc.subjectPhonationpt_PT
dc.subjectArticulationpt_PT
dc.subjectProsodypt_PT
dc.titleAutomatic detection of Parkinson’s disease: an experimental analysis of common speech production tasks used for diagnosispt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePragapt_PT
oaire.citation.titleInternational Conference on Text, Speech, and Dialoguept_PT
oaire.citation.volume2017pt_PT
person.familyNamecardoso
person.familyNameGuimarães
person.givenNamerita
person.givenNameIsabel
person.identifier548796
person.identifier.ciencia-idF014-BFD6-49C2
person.identifier.orcid0000-0002-4478-990X
person.identifier.orcid0000-0001-8524-8731
person.identifier.scopus-author-id24586862700
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication0d976fcb-d1b8-478a-8163-250052500b7f
relation.isAuthorOfPublicationdc9a77a2-eecf-4d30-88fa-4200275eccf5
relation.isAuthorOfPublication.latestForDiscoverydc9a77a2-eecf-4d30-88fa-4200275eccf5

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