Detection of Stress using Short-Time Energy Dispersion of Speech Signal

Abstract

Our research shows that it is possible to identify stress from a speech signal using energy factors. The proposed method is based on the dispersion of short-time signal energy. The results obtained for full speech and voiced speech are presented. T he voiced parts of speech were extracted from continuous speech by means of center clipping algorithm with optimized parameters . The voiced parts provide better results.