Fast robot voice interface through optimum-path forest

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dc.contributor.authorNakamura, R. [UNESP]
dc.contributor.authorPereira, L. [UNESP]
dc.contributor.authorSilva, D. [UNESP]
dc.contributor.authorCardozo, P. [UNESP]
dc.contributor.authorPereira, C. [UNESP]
dc.contributor.authorFerasoli, H. [UNESP]
dc.contributor.authorAlves, S. [UNESP]
dc.contributor.authorPires, R. [UNESP]
dc.contributor.authorSpadotto, A. [UNESP]
dc.contributor.authorPapa, J. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:27:04Z
dc.date.available2014-05-27T11:27:04Z
dc.date.issued2012-10-01
dc.description.abstractVoice-based user interfaces have been actively pursued aiming to help individuals with motor impairments, providing natural interfaces to communicate with machines. In this work, we have introduced a recent machine learning technique named Optimum-Path Forest (OPF) for voice-based robot interface, which has been demonstrated to be similar to the state-of-the-art pattern recognition techniques, but much faster. Experiments were conducted against Support Vector Machines, Neural Networks and a Bayesian classifier to show the OPF robustness. The proposed architecture provides high accuracy rates allied with low computational times. © 2012 IEEE.en
dc.description.affiliationDepartment of Computing UNESP Univ. Estadual Paulista
dc.description.affiliationUnespDepartment of Computing UNESP Univ. Estadual Paulista
dc.format.extent67-71
dc.identifierhttp://dx.doi.org/10.1109/INES.2012.6249804
dc.identifier.citationINES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings, p. 67-71.
dc.identifier.doi10.1109/INES.2012.6249804
dc.identifier.scopus2-s2.0-84866652350
dc.identifier.urihttp://hdl.handle.net/11449/73611
dc.language.isoeng
dc.relation.ispartofINES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectAccuracy rate
dc.subjectBayesian classifier
dc.subjectComputational time
dc.subjectMachine learning techniques
dc.subjectMotor impairments
dc.subjectNatural interfaces
dc.subjectOptimum-path forests
dc.subjectPattern recognition techniques
dc.subjectProposed architectures
dc.subjectRobot interface
dc.subjectVoice interfaces
dc.subjectLearning systems
dc.subjectPattern recognition
dc.subjectUser interfaces
dc.subjectForestry
dc.subjectInterfaces
dc.subjectNetworks
dc.subjectOptimization
dc.subjectPatterns
dc.subjectRobots
dc.titleFast robot voice interface through optimum-path foresten
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências, Baurupt
unesp.departmentComputação - FCpt

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Bauru - FC - Faculdade de Ciências