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.
%0 Journal Article
%1 Baker1975
%A Baker, James A.
%D 1975
%J IEEE Transactions on Acoustics, Speech and Signal Processing
%K Acoustic analysis;Markov measurements;Automatic mining;Error modeling;Power processes;Power recognition;Data recognition;Vocabulary reliability;Random speech system variables;Speech
%N 1
%P 24-29
%R 10.1109/TASSP.1975.1162650
%T The DRAGON system--An overview
%V 23
%X 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.
@article{Baker1975,
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.},
added-at = {2021-02-01T10:51:23.000+0100},
author = {Baker, James A.},
biburl = {https://www.bibsonomy.org/bibtex/21beb3a3cacc23ab81a3f248500531905/m-toman},
doi = {10.1109/TASSP.1975.1162650},
file = {:pdfs/baker_transassp_1975.pdf:PDF},
interhash = {80f47bd4e1386a139a65ba1d58ad9518},
intrahash = {1beb3a3cacc23ab81a3f248500531905},
issn = {0096-3518},
journal = {IEEE Transactions on Acoustics, Speech and Signal Processing},
keywords = {Acoustic analysis;Markov measurements;Automatic mining;Error modeling;Power processes;Power recognition;Data recognition;Vocabulary reliability;Random speech system variables;Speech},
month = feb,
number = 1,
owner = {schabus},
pages = {24-29},
timestamp = {2021-02-01T10:51:23.000+0100},
title = {The DRAGON system--An overview},
volume = 23,
year = 1975
}