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Identification of pathology in larynx based on Discriminative Paraconsistent Machine

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Author(s):
Sylvio Barbon Júnior
Total Authors: 1
Document type: Doctoral Thesis
Press: São Carlos.
Institution: Universidade de São Paulo (USP). Instituto de Física de São Carlos (IFSC/BT)
Defense date:
Examining board members:
Rodrigo Capobianco Guido; Alberto Cliquet Junior; Alexandre Cláudio Botazzo Delbem; Mateus Jose Martins; Reynaldo Daniel Pinto
Advisor: Rodrigo Capobianco Guido
Abstract

This PhD thesis presents two novelties: the Discriminative Paraconsistent Machine (DPM), which is a new classifier built on the basis of the annotated paraconsistent logic (APL), and the applications of DPM to identify larynx pathologies, by inspecting a voice signal. There is neither a comment on literature about the use of APL to built a classifier nor about its applications for the proposed application. The results obtained create motivation, showing a clear progress in the field. (AU)

FAPESP's process: 07/05070-6 - VSA - Characterization of new parameters of the voice production mechanism with applications.
Grantee:Sylvio Barbon Junior
Support Opportunities: Scholarships in Brazil - Doctorate