DocumentCode :
387901
Title :
Plan refinement in a knowledge-based system for automatic speech recognition
Author :
de Mori, Renato ; Lam, Lily
Author_Institution :
Concordia University, Montreal, Canada
Volume :
11
fYear :
1986
fDate :
31503
Firstpage :
1217
Lastpage :
1220
Abstract :
This paper shows how a semi-automatic 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 connectedly spoken letters pronounced by 70 new speakers are presented.
Keywords :
Automatic speech recognition; Electronic switching systems; Hidden Markov models; Knowledge based systems; Loudspeakers; Prototypes; Speech recognition; Speech synthesis; Synthesizers; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
Type :
conf
DOI :
10.1109/ICASSP.1986.1168806
Filename :
1168806
Link To Document :
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