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Parallel Algorithms for Syllable Recognition in Continuous Speech

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

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:

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

Date of Publication:

Jan. 1985

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