Emotional states discrimination in voice in secure environments

Abstract

In this paper we present the use of emotions in security. The access control security systems by speech recognition can be complemented by means of an emotions discrimination system from the speech. An emotions recognition system has the advantage of increasing the security allowing identifying if an authorized user in the system is being coerced while he executes speech identification, reflecting his speech some nervousness. In this study we use four emotional states. We use three emotional states that would produce alarm in a security system: anxiety, hot anger and panic. and a fourth emotional state that corresponds to emotions set without interest for the security, like happiness, shame, sadness, boredom or the absence of emotion (neutral), and that we have called rest. In our simulations, the proposed emotions discrimination system has obtained an average accuracy about 79%