Characterization of pathological voice signals based on classical acoustic analysis

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dc.contributor.authorBrandt R.R.
dc.contributor.authorNeto B.G.A.
dc.contributor.authorFreire R.C.S.
dc.contributor.authorFechine J.M.
dc.contributor.authorDo Nascimento Cunha Costa S.L.
dc.date.accessioned2024-03-13T01:12:07Z
dc.date.available2024-03-13T01:12:07Z
dc.date.issued2011
dc.description.abstractCopyright © 2011 by the International Measurement Confederation (IMEKO) All rights reserved.This work describes a method used to classify voice signals as normal or pathological. Voices were chosen from the KAY ELEMETRICS CORP Voice Disorders Database. The process of characterization of the voices as normal or pathological was done using classical acoustic analysis characteristics. Individual features gave false positive and false negative rates ranging from 15% up. By using three features simultaneously false positive and false negative rates of 13% and 15%, respectively, were obtained.
dc.description.firstpage327
dc.description.lastpage332
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/37035
dc.relation.ispartof18th IMEKO TC4 Symposium on Measurement of Electrical Quantities 2011, Part of Metrologia 2011
dc.rightsAcesso Restrito
dc.subject.otherlanguageAcoustic analysis
dc.subject.otherlanguageNoninvasive
dc.subject.otherlanguagePathological voice
dc.subject.otherlanguageVoice characterization
dc.titleCharacterization of pathological voice signals based on classical acoustic analysis
dc.typeArtigo de evento
local.scopus.citations0
local.scopus.eid2-s2.0-84921800304
local.scopus.subjectAcoustic analysis
local.scopus.subjectFalse positive and false negatives
local.scopus.subjectIndividual features
local.scopus.subjectNoninvasive
local.scopus.subjectPathological voice
local.scopus.subjectVoice disorders
local.scopus.subjectVoice signals
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84921800304&origin=inward
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