AIBO talking procedure in multi languages based on incremental learning approach

The target of this project is to propose and implement incremental system for multi languages linguistic command recognition in multi agent system MASS, based on client-server architecture. Preprocessing is realized with the aid of cepstral coefficients and classification is realized by modified MF Artmap. System allows remote parallel learning of various commands, their consecutive identification and robot dog AIBO control.