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Advisor(s)
Abstract(s)
This paper presents a new method for discriminating between subjects with healthy voices and subjects with diseases in the vocal folds. This method uses speech signals and spectral analysis of the sustained vowel /a/. The slope between a first band of the signal defined in the first two harmonics and a second band defined in the zone of the /a/ first formant contains information that allows to correctly classify the database of pathological voices of the University of Sao Paulo. The presented method can be applied in the direct analysis of spectra or implemented in high-level classifiers as a complement to other parameters.
Description
Keywords
Pathological voices Spectral tilt Spectral band analysis
Citation
CORDEIRO, Hugo; MENESES, Carlos – Low band spectral tilt analysis for pathological voice discrimination. In 2019 6th IEEE Portuguese Meeting on Bioengineering (ENBENG). Lisbon, Portugal: IEEE, 2019. ISBN 978-1-5386-8507-5. Pp. 1-4
Publisher
Institute of Electrical and Electronics Engineers