Dynamic features of vocal folds based on speech production model for detection of stressed speech

In this paper, dynamic characteristics representing physiological variations for speakers are explored for speech under stress. A speech production model is used to estimate the physical parameters representing stiffness of vocal folds and subglottal pressure of trachea. We analyze the short-time and long-time temporal information respectively to catch dynamic feature in physical parameters using different window lengths, and the dynamic parameters are proposed in order to classify recorded samples into neutral and stressed speech. Results show the proposed dynamic features corresponding short-time and long-time window lengths could be able to lead to improvements in classification for the stressed speech.