DocumentCode :
1936874
Title :
A probabilistic approach to person-robot dialogue
Author :
De Mori, R. ; Kuhn, R. ; Lazzari, G.
Author_Institution :
Sch. of Comput. Sci., McGill Univ., Montreal, Que., Canada
fYear :
1991
fDate :
14-17 Apr 1991
Firstpage :
797
Abstract :
An approach to designing dialogue systems, as applied to a robot with speech recognition capabilities, is described. One of the goals of this research is to develop probabilistic methods for dialogue systems analogous to those used in language modeling for dictation systems. These methods will use knowledge about dialogue structure, performance, syntax, and semantics to constrain the speech recognition task
Keywords :
interactive systems; mobile robots; speech recognition; user interfaces; dialogue structure; dialogue syntax; language modeling; person-robot dialogue; probabilistic methods; semantic constraints; speech recognition; Computer science; Constraint theory; Natural languages; Robots; Speech recognition; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
ISSN :
1520-6149
Print_ISBN :
0-7803-0003-3
Type :
conf
DOI :
10.1109/ICASSP.1991.150457
Filename :
150457
Link To Document :
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