DocumentCode
1086298
Title
The DRAGON system--An overview
Author
Baker, James K.
Author_Institution
IBM Thomas J. Watson Research Center, Yorktown Heights, N.Y.
Volume
23
Issue
1
fYear
1975
fDate
2/1/1975 12:00:00 AM
Firstpage
24
Lastpage
29
Abstract
This paper briefly describes the major features of the DRAGON speech understanding system. DRAGON makes systematic use of a general abstract model to represent each of the knowledge sources necessary for automatic recognition of continuous speech. The model--that of a probabilistic function of a Markov process--is very flexible and leads to features which allow DRAGON to function despite high error rates from individual knowledge sources. Repeated use of a simple abstract model produces a system which is simple in structure, but powerful in capabilities.
Keywords
Acoustic measurements; Automatic speech recognition; Data mining; Error analysis; Markov processes; Power system modeling; Power system reliability; Random variables; Speech recognition; Vocabulary;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/TASSP.1975.1162650
Filename
1162650
Link To Document