The identification of voice pathologies using speech processing techniques can be a 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 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 presented in previous work for the vowel /a/ are present in others vowels, and evaluate the voice pathologies identification rate.
|Title of host publication||Book of Abstracts of CETC'2013|
|Publication status||Published - 1 Jan 2013|
|Event||CETC'2013 - Conference on Electronics, Telecommunications and Computers - |
Duration: 1 Jan 2013 → …
|Conference||CETC'2013 - Conference on Electronics, Telecommunications and Computers|
|Period||1/01/13 → …|