Evalutation of performance of KNN, MLP and RBF classifiers in emotion detection problem

Polat, GoekhanAltun, Halis2019-08-012019-08-012007978-1-4244-0719-4https://hdl.handle.net/11480/5421IEEE 15th Signal Processing and Communications Applications Conference -- JUN 11-13, 2007 -- Eskisehir, TURKEYEmotion Detection has gained increasing attention and become an active research area. The problem is solved with improved feature set with different number of feature groups, by employing different classifiers in order to achieve satisfactory recognition rate. In this study, speech related features are employed to evaluate the performance of different classifiers in emotion detection problem.trinfo:eu-repo/semantics/closedAccessEvalutation of performance of KNN, MLP and RBF classifiers in emotion detection problemConference Object459+2-s2.0-50249096821N/AWOS:000252924600115N/A