Emotional speech recognition based on modified parameter and distance of statistical model of pitch

Based on resolution of pitch,a modified Parzen-window method,which can maintain high resolution in low frequencies and eliminate the jitter in high frequencies,is proposed to obtain a statistical model.Then,a gender classification utilizing the statistical model is proposed.Accuracy can achieve 98% while long sentence is to be classified.By analyzing the differences between genders,modified parameters about pitch are proposed,and the following parameters:(1) modified means of pitch,(2) modified standard deviations of pitch,and (3) Bhattacharyya Distance of statistical models of pitch,are utilized for pattern classification.Finally,an emotion recognition experiment based on K Nearest Neighbor is described.A 81% rate of recognition can be achieved when our parameters are utilized;whereas only 73.8% is obtained when normal parameters are utilized.