DocumentCode
1125039
Title
Learning and Plan Refinement in a Knowledge-Based System for Automatic Speech Recognition
Author
de Mori, Renato ; Lam, Lily ; Gilloux, Michel
Author_Institution
School of Computer Science, McGill University, Montreal, P. Q. H3A 2K6, Canada.
Issue
2
fYear
1987
fDate
3/1/1987 12:00:00 AM
Firstpage
289
Lastpage
305
Abstract
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.
Keywords
Automatic speech recognition; Computer science; Decoding; Knowledge based systems; Loudspeakers; Pattern matching; Prototypes; Speech recognition; Stochastic processes; Vocabulary; Automatic speech recognition; connected speech recognition; inductive learning; letter recognition; network of actions; planning; stochastic rules;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.1987.4767902
Filename
4767902
Link To Document