dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2014-05-27T11:21:00Z
dc.date.available2014-05-27T11:21:00Z
dc.date.created2014-05-27T11:21:00Z
dc.date.issued2003-12-01
dc.identifierIntelligent Engineering Systems Through Artificial Neural Networks, v. 13, p. 321-326.
dc.identifierhttp://hdl.handle.net/11449/67579
dc.identifier2-s2.0-2442597771
dc.identifier6186484010985440
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).
dc.languageeng
dc.relationIntelligent Engineering Systems Through Artificial Neural Networks
dc.rightsAcesso 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 recognition
dc.typeActas de congresos


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