A proposal for the development of adaptive spoken interfaces to access the Web

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dc.contributor.author Griol Barres, David
dc.contributor.author Molina López, José Manuel
dc.contributor.author Callejas, Zoraida
dc.date.accessioned 2017-11-27T13:05:29Z
dc.date.available 2017-11-27T13:05:29Z
dc.date.issued 2015-09-02
dc.identifier.bibliographicCitation Neurocomputing, 163 (Sept. 2015), 56-68.
dc.identifier.issn 0925-2312
dc.identifier.uri http://hdl.handle.net/10016/25983
dc.description.abstract Spoken dialog systems have been proposed as a solution to facilitate a more natural human–machine interaction. In this paper, we propose a framework to model the user׳s intention during the dialog and adapt the dialog model dynamically to the user needs and preferences, thus developing more efficient, adapted, and usable spoken dialog systems. Our framework employs statistical models based on neural networks that take into account the history of the dialog up to the current dialog state in order to predict the user׳s intention and the next system response. We describe our proposal and detail its application in the Let׳s Go spoken dialog system.
dc.description.sponsorship Work partially supported by Projects MINECO TEC2012-37832- C02-01, CICYT TEC2011-28626-C02-02, CAM CONTEXTS (S2009/ TIC-1485)
dc.format.extent 12
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.rights 0925-2312 / © 2015 Elsevier B.V. All rights reserved
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Dialog Systems
dc.subject.other Spoken interaction
dc.subject.other User modeling
dc.subject.other Adaptation
dc.subject.other Neural networks
dc.subject.other Statistical methodologies
dc.title A proposal for the development of adaptive spoken interfaces to access the Web
dc.type article
dc.subject.eciencia Informática
dc.identifier.doi https://doi.org/10.1016/j.neucom.2014.09.087
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TEC2012-37832-C02-01
dc.relation.projectID Gobierno de España. TEC2011-28626-C02-02
dc.relation.projectID Comunidad de Madrid. S2009/TIC-1485
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 56
dc.identifier.publicationissue September 2015
dc.identifier.publicationlastpage 68
dc.identifier.publicationtitle Neurocomputing
dc.identifier.publicationvolume 163
dc.identifier.uxxi AR/0000017028
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