Healthy and pathological voice assessment by means of nonlinear dynamic analysis measures and linear predictive coding Classificação de sinais de vozes saudáveis e patológicas por meio da combinação entre medidas da análise dinâmica não linear e codificação preditiva linear

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dc.contributor.authorCosta W.C.A.
dc.contributor.authorCosta S.L.N.C.
dc.contributor.authorde Assis F.M.
dc.contributor.authorNeto B.G.A.
dc.date.accessioned2024-03-13T01:04:54Z
dc.date.available2024-03-13T01:04:54Z
dc.date.issued2013
dc.description.abstractAcoustic analysis has been suggested as a noninvasive aiding and low cost tool for laryngeal disease diagnosis. Several techniques are employed using either the linear model of speech production, or the nonlinear dynamic analysis of voice signals. The first method is based on source-filter theory, in which the source is the larynx and the filter is the vocal tract. In this model, the unvoiced sounds are modeled by a random noise source and the voiced ones by impulse train at the speaker fundamental frequency. In nonlinear approach, aspects of the human voice are considered, not explored in the linear model, such as temporal variation of the vocal tract shape, resonances associated with its physiology, losses due to friction in the vocal tract inner walls, sound radiation in the lips, nose coupling and dynamic behavior associated with vocal fold vibration. This work combines the two approaches and evaluates the performance in classifying the features individually, and from their combination. Eight measures are employed derived from the nonlinear dynamic analysis (correlation dimension, four entropy measures, Hurst exponent, the largest Lyapunov exponent and the first minimum of mutual information function), besides LPC coefficients obtained from linear predictive analysis. The results suggest the feasibility of the employed technique to discriminate between healthy and pathological voices in general, but also among specific laryngeal diseases as vocal fold edema, nodules and paralysis.
dc.description.firstpage3
dc.description.issuenumber1
dc.description.lastpage14
dc.description.volume29
dc.identifier.doi10.4322/rbeb.2013.010
dc.identifier.issn1517-3151
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/36629
dc.relation.ispartofRevista Brasileira de Engenharia Biomedica
dc.rightsAcesso Aberto
dc.subject.otherlanguageAcoustic analysis
dc.subject.otherlanguageLaryngeal diseases
dc.subject.otherlanguageLinear predictive analysis
dc.subject.otherlanguageNonlinear dynamic analysis
dc.subject.otherlanguagePathological voice assessment
dc.titleHealthy and pathological voice assessment by means of nonlinear dynamic analysis measures and linear predictive coding Classificação de sinais de vozes saudáveis e patológicas por meio da combinação entre medidas da análise dinâmica não linear e codificação preditiva linear
dc.typeArtigo
local.scopus.citations3
local.scopus.eid2-s2.0-84875998364
local.scopus.subjectAcoustic analysis
local.scopus.subjectFundamental frequencies
local.scopus.subjectLargest Lyapunov exponent
local.scopus.subjectLaryngeal disease
local.scopus.subjectLinear predictive analysis
local.scopus.subjectLinear Predictive Coding
local.scopus.subjectMutual information functions
local.scopus.subjectPathological voice
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875998364&origin=inward
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