Diferenciação entre edema de reinke e nódulos vocais através de parâmetros não-lineares da voz

Gabriel A. R. Silva, Marco A. R. Alves, Bruno C. Bispo*, Maria E. Dajer*, Pedro M. Rodrigues*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Abstract

This work aims to detect vocal disorders related to vocal nodule and Reinke’s edema through non-linear features. The features are computed from the fullband and, by means of the wavelet transform, from sub-bands of sustained vowel. The wavelet that maximizes the individual discriminating capacity of the features is sought. Two sub-band parameter selections are performed. The fullband and sub-band parameters, and the selected sets are applied to several classifiers with leave-one-out cross-validation. Classification accuracies of up to 86.2% are obtained without parameter selection while accuracies of up to 100% are achieved with selected parameters.
Original languagePortuguese
Title of host publicationXXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais
PublisherSociedade Brasileira de Telecomunicações
Pages1-5
Number of pages5
DOIs
Publication statusPublished - 26 Sep 2021
EventXXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais - Fortaleza, Brazil
Duration: 26 Sep 202129 Sep 2021

Conference

ConferenceXXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais
Abbreviated titleSBrT2021
Country/TerritoryBrazil
CityFortaleza
Period26/09/2129/09/21

Keywords

  • Vocal nodule
  • Reinke’s edema
  • Nonlinear features
  • Wavelet
  • Classification

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