Stress, Arousal, and Stress Detector Trained on Acted Speech Database

摘要

This paper reports on initial experiments with the creation of a suitable database for training and testing systems for stress detection in speech and first experimental results. Based on the psychological understanding of the concepts of stress and emotion, we operationalized stress as a level of arousal, which can be detected in speech. We describe here a speech database with three levels of "acted stress" and three levels of soothing. For the very first experiment performed on the database we detect different levels of stress using Gaussian mixture models. The accuracy of detecting three levels of stress was 89% for speakers included in the training database and 73% for speakers whose recordings were not used during the adaptation of the GMM models.