Detecção de distúrbios vocais através de parâmetros cepstrais multibanda de vogal sustentada

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

Research output: Contribution to conferencePaper



This work aims to detect vocal disorders related to vocal nodule, Reinke’s edema and neurological pathologies through multiband cepstral measures of the sustained vowel/a/. Detection is performed between pairs of study groups and multiband analysis is accomplished using the Wavelet transform. For each pair of groups, a parameters selection is performed. Statistics of the selected parameters are used as input for four classifiers with leave-one-out cross validation. Classification accuracies equal or greater than 96.70% are obtained for 6pairs of study groups while only 74.20% is achieved for the Edema/Nodule pair
Original languagePortuguese
Number of pages5
Publication statusPublished - Nov 2020
EventXXXVIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais - Florianópolis, Brazil
Duration: 22 Nov 202025 Nov 2020


ConferenceXXXVIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais
Internet address


  • Voice disorders detection
  • Vocal fold
  • Reinke’s edema
  • Neurological pathologies
  • Cepstral measures
  • Wavelet

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