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A novel pattern learning and classification procedure applied to the learning of vowels

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2 Author(s)
Burge, J. ; Carnegie-Mellon University, Pittsburgh, Pa. ; Hayes-Roth, F.

The ability of a set of simple predicates to capture characteristic patterns in a parametric representation of vowels in continuous speech was investigated with the aid of an efficient conjunctive pattern recognition and classification system. The results compare favourably with those produced by a cluster-based minimal Euclidean distance technique, run over the identical training and test samples. The predicates used are similar to auditory receptive fields.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '76.  (Volume:1 )

Date of Conference:

Apr 1976

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