Reinke's Edema and Nodules Identification in Vowels Using Spectral Features and Pitch Jitter

Hugo Tito Cordeiro, José Manuel Matos Ribeiro da Fonseca, Carlos Meneses Ribeiro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The identification of voice pathologies using speech processing techniques can be an useful contribution to the diagnose of larynx diseases. This work presents an identification system using spectral features and pitch jitter extracted from the sustained vowels /a/, /e/ and /i/. A SVM (Support Vector Machine) classifier has been implemented to discriminate Reinke's edema pathologies from nodules. The main objective of this work is to inspect if the spectral features reported in previous work for the vowel /a/ are present in others vowels, and evaluate the voice pathologies identification rate.
Original languageEnglish
Title of host publicationCONFERENCE ON ELECTRONICS, TELECOMMUNICATIONS AND COMPUTERS - CETC 2013
EditorsAlessandro Fantoni, Artur J. Ferreira
Place of PublicationAmsterdam
PublisherELSEVIER SCIENCE BV
Pages202–208
DOIs
Publication statusPublished - 2014
Event2nd Conference on Electronics, Telecommunications, and Computers (CETC) - Lisbon, Portugal
Duration: 5 Dec 20136 Dec 2013
Conference number: 2nd

Publication series

NameProcedia Technology
PublisherELSEVIER SCIENCE BV
Volume17
ISSN (Print)2212-0173

Conference

Conference2nd Conference on Electronics, Telecommunications, and Computers (CETC)
Abbreviated titleCETC
CountryPortugal
CityLisbon
Period5/12/136/12/13

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Keywords

  • Voice pathologies identification
  • formant frequency
  • formant bandwidth
  • pitch jitter
  • pitch

Cite this

Cordeiro, H. T., Fonseca, J. M. M. R. D., & Ribeiro, C. M. (2014). Reinke's Edema and Nodules Identification in Vowels Using Spectral Features and Pitch Jitter. In A. Fantoni, & A. J. Ferreira (Eds.), CONFERENCE ON ELECTRONICS, TELECOMMUNICATIONS AND COMPUTERS - CETC 2013 (pp. 202–208). (Procedia Technology; Vol. 17). Amsterdam: ELSEVIER SCIENCE BV. https://doi.org/10.1016/j.protcy.2014.10.229