Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43995
Title: Emotional speech characterization for real time applications in real environments
Authors: Alonso, Jesus B. 
Cabrera, Josue
Ferrer, Miguel A. 
Canino, Jose M. 
Travieso González, Carlos Manuel 
Dutta, Malay Kishore
Singh, Anushikha
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Speech , Speech recognition , Feature extraction , Noise , Pragmatics , Real-time systems , Emotion recognition, Speech Analysis , Speech Perception and Psychoacoustics , Speech Synthesis and Generation
Issue Date: 2015
Journal: 2014 International Conference On Medical Imaging, M-Health & Emerging Communication Systems (Medcom)
Conference: International Conference on Medical Imaging, M-Health and Emerging Communication Systems (MedCom) 
Abstract: A simple and effective method of automatic discrimination between emotional and unemotional speech is presented. Traditional methods of emotional discrimination use prosodic and paralinguistic features, which are determined by a linguistic segmentation of the locution. However, these methods are not appropriate in real time applications because of their high computational cost and the linguistic segmentation requirement by locutions. This letter proposes a new strategy based on a few prosodic and paralinguistic features set obtained from a temporal segmentation of the speech signal. This new strategy is robust to interfering noises that are present in real environments, offering a low computational cost and improving the performance of a segmentation based on linguistic aspects.
URI: http://hdl.handle.net/10553/43995
ISBN: 9781479950973
DOI: 10.1109/MedCom.2014.7005994
Source: 2014 International Conference On Medical Imaging, M-Health & Emerging Communication Systems (Medcom), p. 152-156
Appears in Collections:Actas de congresos
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