Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43990
Title: Emotional temperature
Authors: Alonso, Jesús B. 
Cabrera, Josué
Travieso, Carlos M. 
UNESCO Clasification: 3307 Tecnología electrónica
Issue Date: 2014
Journal: 2014 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2014 - Proceedings
Conference: 3rd IEEE International Work-Conference on Bioinspired Intelligence, IWOBI 2014 
Abstract: © 2014 IEEE.Automatic emotional state recognition from the speech signal represents a remarkable improvement in humanmachine interfaces and it opens up a wide range of new applications. This turns out to be no trivial task due to the degree of difficulty inherent in the study of emotions. Traditional methods of emotional discrimination use prosodic and paralinguistic features, which are determined by a linguistic segmentation of the locution. This type of segmentation results in almost real scenarios impossible to estimate. In this paper a simple and effective method of automatic discrimination between positive and negative emotional intensity speech is presented. This work proposes a new strategy based on a few features set obtained from a temporal segmentation of the speech signal. This strategy is robust, offers low computational cost and improves the performance of a segmentation based on linguistic aspects.
URI: http://hdl.handle.net/10553/43990
ISBN: 9781479961740
Source: 2014 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2014 - Proceedings, p. 25-29
Appears in Collections:Actas de congresos
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