Radial basis function network for speech pattern classification

30 March 1989

journal article
Published by Institution of Engineering and Technology (IET) in Electronics Letters

Vol. 25 (7) , 437-439
https://doi.org/10.1049/el:19890300

Abstract

A 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 results.

Keywords

SPEECH RECOGNITION
NEURAL NETWORK MODEL
RADIAL BASIS FUNCTIONS
SPEECH PATTERN CLASSIFICATION
CLASSIFICATION RESULTS
TRAINING TIMES

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