Application of Speech Emotion Recognition in Intelligent Household Robot

This thesis aims to perform categorized recognition of 5 speech emotions as represented by joy, grief, anger, fear and surprise by means of algorithm with the combination of HMM and SOFMNN models so as to apply speech emotion recognition methods presented by integrated HMM/SOFMNN model to the platform of intelligent household robot. In this way, robot can recognize emotional information as contained in the human speech signals for friendly interaction with human beings, and eventually satisfactory performance and effect are realized.