Belief networks in classification of laryngopathies based on speech spectrum analysis

Authors:
Teresa Mroczek;Krzysztof Pancerz;Jan Warchoł
Affiliations:
University of Information Technology and Management in Rzeszów, Poland;University of Information Technology and Management in Rzeszów, Poland;Medical University of Lublin, Poland
Venue:
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Year:
2012

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Abstract

The paper is devoted to classification of laryngopathies on the basis of a family of coefficients reflecting spectrum disturbances around basic tones and their multiples in patients' speech signals. In experiments, a special computer tool called BeliefSEEKER is tested. BeliefSEEKER is capable to generate belief networks and also to generate sets of belief rules. The paper presents feature selection and classification mechanisms as well as the experiments carried out on real-life data.