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Learning and Plan Refinement in a Knowledge-Based System for Automatic Speech Recognition

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3 Author(s)
Renato De Mori ; School of Computer Science, McGill University, Montreal, P. Q. H3A 2K6, Canada. ; Lily Lam ; Michel Gilloux

This paper shows how a semiautomatic design of a speech recognition system can be done as a planning activity. Recognition performances are used for deciding plan refinement. Inductive learning is performed for setting action preconditions. Experimental results in the recognition of connected letters spoken by 100 speakers are presented.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-9 ,  Issue: 2 )