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Utilize este identificador para citar ou criar um link para este item: http://acervodigital.unesp.br/handle/11449/67579
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dc.contributor.authorMantovani, Suely Cunha Amaro-
dc.contributor.authorDe Oliveira, José Raimundo-
dc.date.accessioned2014-05-27T11:21:00Z-
dc.date.accessioned2016-10-25T18:19:14Z-
dc.date.available2014-05-27T11:21:00Z-
dc.date.available2016-10-25T18:19:14Z-
dc.date.issued2003-12-01-
dc.identifier.citationIntelligent Engineering Systems Through Artificial Neural Networks, v. 13, p. 321-326.-
dc.identifier.urihttp://hdl.handle.net/11449/67579-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/67579-
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.format.extent321-326-
dc.language.isoeng-
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.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)-
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.rights.accessRightsAcesso restrito-
dc.relation.ispartofIntelligent Engineering Systems Through Artificial Neural Networks-
dc.identifier.scopus2-s2.0-2442597771-
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