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CHARACTERIZATION OF PATHOLOGICAL VOICE SIGNALS BASED ON CLASSICAL ACOUSTIC ANALYSIS

Robert Rice Brandt, Benedito Guimarães Aguiar Neto, Raimundo Carlos Silvério Freire, Joseana Macedo Fechine, Silvana Luciene do Nascimento Cunha Costa

Abstract

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.

Keywords
voice characterization, pathological voice, acoustic analysis, noninvasive
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IMEKO-TC4-2011-073.pdf
DOI
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IMEKO TC
TC4 - Measurement of Electrical Quantities

Event details

Event
TC4 Symposium 2011
Technical Committee
TC4
Email
eventos@metrologia.org.br
Place
Natal, BRAZIL
Time
27 September 2011 - 30 September 2011
Website
http://www.metrologia.org.br/metrologia2011/

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