1.
Stud Health Technol Inform
; 216: 1047, 2015.
Artículo
en Inglés
| MEDLINE
| ID: mdl-26262346
RESUMEN
This paper deals with the discrimination between healthy and pathological speech signals using recurrence plots and wavelet transform with texture features. Approximation and detail coefficients are obtained from the recurrence plots using Haar wavelet transform, considering one decomposition level. The considered laryngeal pathologies are: paralysis, Reinke's edema and nodules. Accuracy rates above 86% were obtained by means of the employed method.