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Abstract

Mroczek, T., Pancerz, K., Warchoł, J.: Belief Networks in Classification of Laryngopathies Based on Speech Spectrum Analysis. In: T. Li et al. (Eds.), Proceedings of the 7th International Conference on Rough Sets and Knowledge Technology (RSKT'2012), Chengdu, China, August 17-20, 2012, Lecture Notes in Artificial Intelligence, Vol. 7414, Springer-Verlag, Berlin Heidelberg, 2012, pp. 222-231.


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.