Edema and Nodulos Identification in vowels using spectral features and jitter

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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.
Original languageUnknown
Title of host publicationBook of Abstracts of CETC'2013
Publication statusPublished - 1 Jan 2013
EventCETC'2013 - Conference on Electronics, Telecommunications and Computers -
Duration: 1 Jan 2013 → …


ConferenceCETC'2013 - Conference on Electronics, Telecommunications and Computers
Period1/01/13 → …

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