Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43970
Title: Emotional states discrimination in voice in secure environments
Authors: Cabrera, Josué
Alonso, Jesús B. 
Travieso, Carlos M. 
Ferrer, Miguel A. 
Hernriquez, Patricia
Dutta, Malay Kishore
Singh, Anushikha
UNESCO Clasification: 3307 Tecnología electrónica
Issue Date: 2015
Journal: 2nd International Conference on Signal Processing and Integrated Networks, SPIN 2015
Conference: 2nd International Conference on Signal Processing and Integrated Networks (SPIN) 
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%
URI: http://hdl.handle.net/10553/43970
ISBN: 9781479959914
DOI: 10.1109/SPIN.2015.7095414
Source: 2nd International Conference on Signal Processing and Integrated Networks, SPIN 2015 (7095414), p. 843-847
Appears in Collections:Actas de congresos
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