EMOTION RECOGNITION BY SPEECH OF HUMAN USING INTELLIGENT METHODS FOR DATA ANALYSIS
The multi-criteria evolutionary algorithms for selection the most informative features in task of human emotion recognition is described. Three approaches (methods): SelfAGP+ANN, PS+MCGP, PS+MCGP_E ere described, based on the cooperation methods: “filter” for preprocessing data and “wrappers” for creation final set of relevant features using neural networks classifiers. After the research all developed methods for improving information recognition, consisting acoustical data, the good results were shown.