Third International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2003)
In this paper we tried to examine the effect of normalization on discriminating the pathological voice into normal and abnormal classes using artificial neural network. Average values per each parameter were used to normalize each set of parameter values. Artificial neural network was used as a classifier. And the effect of normalization was evaluated by comparing the discrimination results between original and normalized parameter sets.
Index Terms. Normalization, pathological, discrimination, neural network
Full Paper (reprinted with permission from Firenze University Press)
Bibliographic reference. Li, Tao / Bak, Il-suh / Jo, Cheolwoo (2003): "The effect of normalization on parameters in discrimination of pathological voice using artificial neural network", In MAVEBA-2003, 247-250.