Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43995
DC FieldValueLanguage
dc.contributor.authorAlonso, Jesus B.en_US
dc.contributor.authorCabrera, Josueen_US
dc.contributor.authorFerrer, Miguel A.en_US
dc.contributor.authorCanino, Jose M.en_US
dc.contributor.authorTravieso González, Carlos Manuelen_US
dc.contributor.authorDutta, Malay Kishoreen_US
dc.contributor.authorSingh, Anushikhaen_US
dc.contributor.otherAlonso-Hernandez, Jesus B.-
dc.date.accessioned2018-11-21T19:26:16Z-
dc.date.available2018-11-21T19:26:16Z-
dc.date.issued2015en_US
dc.identifier.isbn9781479950973en_US
dc.identifier.urihttp://hdl.handle.net/10553/43995-
dc.description.abstractA 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.en_US
dc.languageengen_US
dc.source2014 International Conference On Medical Imaging, M-Health & Emerging Communication Systems (Medcom), p. 152-156en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherSpeechen_US
dc.subject.otherSpeech recognitionen_US
dc.subject.otherFeature extractionen_US
dc.subject.otherNoiseen_US
dc.subject.otherPragmaticsen_US
dc.subject.otherReal-time systemsen_US
dc.subject.otherEmotion recognitionen_US
dc.subject.otherSpeech Analysisen_US
dc.subject.otherSpeech Perception and Psychoacousticsen_US
dc.subject.otherSpeech Synthesis and Generationen_US
dc.titleEmotional speech characterization for real time applications in real environmentsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceInternational Conference on Medical Imaging, M-Health and Emerging Communication Systems (MedCom)en_US
dc.identifier.doi10.1109/MedCom.2014.7005994en_US
dc.identifier.scopus84988260190-
dc.identifier.isi000375057800031-
dcterms.isPartOf2014 International Conference On Medical Imaging, M-Health & Emerging Communication Systems (Medcom)-
dcterms.source2014 International Conference On Medical Imaging, M-Health & Emerging Communication Systems (Medcom), p. 152-156-
dc.contributor.authorscopusid24774957200-
dc.contributor.authorscopusid56501436400-
dc.contributor.authorscopusid55636321172-
dc.contributor.authorscopusid35101600800-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid35291803600-
dc.contributor.authorscopusid55885045200-
dc.description.lastpage156en_US
dc.identifier.issue7005994-
dc.description.firstpage152en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.identifier.wosWOS:000375057800031-
dc.contributor.daisngid418703-
dc.contributor.daisngid4468790-
dc.contributor.daisngid233119-
dc.contributor.daisngid8402477-
dc.contributor.daisngid1625309-
dc.contributor.daisngid265761-
dc.contributor.daisngid35026383-
dc.contributor.daisngid169000-
dc.contributor.daisngid802071-
dc.identifier.investigatorRIDN-5977-2014-
dc.identifier.externalWOS:000375057800031-
dc.identifier.eisbn978-1-4799-5097-3-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Alonso, JB-
dc.contributor.wosstandardWOS:Cabrera, J-
dc.contributor.wosstandardWOS:Ferrer, MA-
dc.contributor.wosstandardWOS:Canino, JM-
dc.contributor.wosstandardWOS:Travieso, CM-
dc.contributor.wosstandardWOS:Dutta, MK-
dc.contributor.wosstandardWOS:Singh, A-
dc.date.coverdateEnero 2014en_US
dc.identifier.conferenceidevents120948-
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-TELen_US
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.orcid0000-0002-2924-1225-
crisitem.author.orcid0000-0003-4350-6223-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
crisitem.author.fullNameCanino Rodríguez, José Miguel-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.event.eventsstartdate07-11-2014-
crisitem.event.eventsenddate08-11-2014-
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