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A framework for improving error detection and correction in spoken dialog systems

dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Inteligencia Artificial Aplicada (GIAA)es
dc.contributor.authorGriol Barres, David
dc.contributor.authorMolina López, José Manuel
dc.contributor.funderComunidad de Madrides
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2021-09-15T14:42:16Z
dc.date.available2021-09-15T14:42:16Z
dc.date.issued2016-11-01
dc.description.abstractDespite The Recent Improvements In Performance And Reliably Of The Different Components Of Dialog Systems, It Is Still Crucial To Devise Strategies To Avoid Error Propagation From One Another. In This Paper, We Contribute A Framework For Improved Error Detection And Correction In Spoken Conversational Interfaces. The Framework Combines User Behavior And Error Modeling To Estimate The Probability Of The Presence Of Errors In The User Utterance. This Estimation Is Forwarded To The Dialog Manager And Used To Compute Whether It Is Necessary To Correct Possible Errors. We Have Designed An Strategy Differentiating Between The Main Misunderstanding And Non-Understanding Scenarios, So That The Dialog Manager Can Provide An Acceptable Tailored Response When Entering The Error Correction State. As A Proof Of Concept, We Have Applied Our Proposal To A Customer Support Dialog System. Our Results Show The Appropriateness Of Our Technique To Correctly Detect And React To Errors, Enhancing The System Performance And User Satisfaction.en
dc.description.sponsorshipThis work was supported in part by Projects MINECO TEC2012-37832-C02-01, CICYT TEC2011-28626-C02-02, CAM CONTEXTS (S2009/TIC-1485).en
dc.identifier.bibliographicCitationGriol, D., Molina, J.M. A framework for improving error detection and correction in spoken dialog systems. Soft Comput 20, 4229–4241 (2016). https://doi.org/10.1007/s00500-016-2290-zen
dc.identifier.doihttps://doi.org/10.1007/s00500-016-2290-z
dc.identifier.issn1432-7643
dc.identifier.publicationfirstpage4229
dc.identifier.publicationissue11
dc.identifier.publicationlastpage4241
dc.identifier.publicationtitleSOFT COMPUTINGen
dc.identifier.publicationvolume20
dc.identifier.urihttps://hdl.handle.net/10016/33274
dc.identifier.uxxiAR/0000018343
dc.language.isoengen
dc.publisherSpringeren
dc.relation.projectIDGobierno de España. TEC-2012-37832-C02-01es
dc.relation.projectIDComunidad de Madrid- S2009/TIC-1485es
dc.relation.projectIDGobierno de España. TEC-2011-2826-C02-02es
dc.rights© 2016, Springer-Verlag Berlin Heidelberg
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaInformáticaes
dc.subject.othererror detection and correctionen
dc.subject.otheruser modelingen
dc.subject.otherspoken dialog systemsen
dc.subject.otherhuman-computer interactionen
dc.subject.otherconversational interfacesen
dc.titleA framework for improving error detection and correction in spoken dialog systemsen
dc.typeresearch article*
dc.type.hasVersionSMUR*
dspace.entity.typePublication
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