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dc.contributor.authorRenals, Steve
dc.coverage.spatial3en
dc.date.accessioned2006-06-06T10:30:00Z
dc.date.available2006-06-06T10:30:00Z
dc.date.issued1989-03
dc.identifier.citationElectronics Letters (1989) 25, pp. 437-439en
dc.identifier.issn0013-5194
dc.identifier.urihttp://ieeexplore.ieee.org/
dc.identifier.urihttp://hdl.handle.net/1842/1205
dc.description.abstractA neural network model incorporating radial basis functions is used in a speech-pattern classification problem. The method is compared with a back-propagation neural network model and with a vector-quantised hidden Markov model of the same problem. Training times are over an order of magnitude faster, with similar classification resultsen
dc.format.extent355226 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEen
dc.titleRadial basis function network for speech pattern classificationen
dc.typeArticleen


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