Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/43967
Título: First approach to continuous tracking of emotional temperature
Autores/as: Alonso, Jesus B. 
Cabrera, Josue
Travieso, Carlos M. 
Lopez-De-Ipina, Karmele
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Speech
Cues
Emotional Speech Recognition
Pattern Recognition
Continuous Tracking
Fecha de publicación: 2015
Editor/a: Institute of Electrical and Electronics Engineers (IEEE) 
Publicación seriada: Proceedings of the Institution of Electrical Engineers 
Conferencia: 2015 4th International Work Conference on Bioinspired Intelligence (IWOBI), 10-12 junio 2015, San Sebastián 
Resumen: A wide range of new applications can arise from the emotional state assessment obtained from speech signal, which represents a marked improvement in the human-machine interfaces and becomes an important research area in the last years. The study of emotions is not a trivial task and involves a degree of difficulty. The great majority of researches on speech emotion recognition have been made on the basis of record repositories consisting short sentences recorded in laboratory conditions. In this work we propose a strategy, previously validated under the conditions described above, for continuous tracking in long-term samples of speech in which there are emotional changes during the speech. This strategy uses a few prosodic and paralinguistic features set obtained from a temporal segmentation of the speech signal, which is more appropriate in real-world scenarios. In this paper a simple and effective method of automatic discrimination between positive and negative emotional intensity speech, named Emotional Temperature, is presented. This strategy is robust, offers low computational cost, ability to detect emotional changes and improves the performance of a segmentation based on linguistic aspects.
URI: http://hdl.handle.net/10553/43967
ISBN: 978-1-4673-7846-8
ISSN: 1558-2256
DOI: 10.1109/IWOBI.2015.7160163
Fuente: IWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, Proceedings, p. 177-184
Colección:Actas de congresos
Vista completa

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.