Evolvable hardware applied to voice recognition

dc.contributor.authorMantovani, Suely Cunha Amaro [UNESP]
dc.contributor.authorDe Oliveira, José Raimundo
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2014-05-27T11:21:00Z
dc.date.available2014-05-27T11:21:00Z
dc.date.issued2003-12-01
dc.description.abstractThis paper presents some results of the application on Evolvable Hardware (EHW) in the area of voice recognition. Evolvable Hardware is able to change inner connections, using genetic learning techniques, adapting its own functionality to external condition changing. This technique became feasible by the improvement of the Programmable Logic Devices. Nowadays, it is possible to have, in a single device, the ability to change, on-line and in real-time, part of its own circuit. This work proposes a reconfigurable architecture of a system that is able to receive voice commands to execute special tasks as, to help handicapped persons in their daily home routines. The idea is to collect several voice samples, process them through algorithms based on Mel - Ceptrais theory to obtain their numerical coefficients for each sample, which, compose the universe of search used by genetic algorithm. The voice patterns considered, are limited to seven sustained Portuguese vowel phonemes (a, eh, e, i, oh, o, u).en
dc.description.affiliationDepto. de Engenharia Elétrica Universidade Estadual Paulista Campus de Ilha Solteira, CP - 31, CEP - 15385-000 Ilha Solteira - SP
dc.description.affiliationDepto. de Computação Universidade Estadual de Campinas UNICAMP, CP-6101, CEP -13081-970 Campinas - SP
dc.description.affiliationUnespDepto. de Engenharia Elétrica Universidade Estadual Paulista Campus de Ilha Solteira, CP - 31, CEP - 15385-000 Ilha Solteira - SP
dc.format.extent321-326
dc.identifier.citationIntelligent Engineering Systems Through Artificial Neural Networks, v. 13, p. 321-326.
dc.identifier.lattes6186484010985440
dc.identifier.scopus2-s2.0-2442597771
dc.identifier.urihttp://hdl.handle.net/11449/67579
dc.language.isoeng
dc.relation.ispartofIntelligent Engineering Systems Through Artificial Neural Networks
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectEvolvable Hardware
dc.subjectGenetic Algorithms
dc.subjectReconfigurable Hardware
dc.subjectVoice Digital Processing
dc.subjectComputer hardware
dc.subjectDigital signal processing
dc.subjectGenetic algorithms
dc.subjectLearning algorithms
dc.subjectOnline systems
dc.subjectProgrammable logic controllers
dc.subjectReal time systems
dc.subjectEvolvable hardware (EHW)
dc.subjectReconfigurable hardware
dc.subjectVoice digital processing
dc.subjectVoice patterns
dc.subjectSpeech recognition
dc.titleEvolvable hardware applied to voice recognitionen
dc.typeTrabalho apresentado em evento
unesp.author.lattes6186484010985440
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt
unesp.departmentEngenharia Elétrica - FEISpt

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