Speech Emotion Recognition Using Eigen-FFT in Clean and Noisy Environments

The ability to recognize human emotion is one of the basic techniques of human-robot interaction especially on emotional interaction points of view. Hence the purpose of this paper is to describe the realization of the recognition of emotion from a voice. Especially, this paper describes a speech emotion recognition technique using eigen-FFT. In the field of speech emotion recognition, recognition rate is important not only in clean but also in noisy environments. Hence, we constructed voice noise (or babble noise) data and performed recognition tests both in clean and noisy environments using the eigen-FFT. From the experiments, we achieved accuracy of 90.1plusmn7.7% for four emotions at a 95% confidence interval and compared eigen-FFT with LPC, MFCC, and pitch in the clean environment. In the case of the noisy environments, eigen-FFT displayed superior performance over LPC, MFCC, and pitch.