A RULE-BASED CLASSIFICATION OF LARYNGOPATHIES BASED ON SPECTRUM DISTURBANCE ANALYSIS - An Exemplary Study

Abstract

Our research concerns data derived from the examined patient's speech signals for a non-invasive diagnosis of selected larynx diseases. The paper is devoted to the rule-based classification of patients on the basis of a family of coefficients reflecting spectrum disturbances around basic tones and their multiples. The paper presents a proposed procedure for feature selection and classification as well as the experiments carried out on real-life data.