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Parallel Algorithms for Syllable Recognition in Continuous Speech

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3 Author(s)
Renato De Mori ; Department of Computer Science, Concordia University, Montreal, P. Q. H3G 1M8, Canada. ; Pietro Laface ; Yu Mong

A distributed rule-based system for automatic speech recognition is described. Acoustic property extraction and feature hypothesization are performed by the application of sequences of operators. These sequences, called plans, are executed by cooperative expert programs. Experimental results on the automatic segmentation and recognition of phrases, made of connected letters and digits, are described and discussed.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-7 ,  Issue: 1 )