DocumentCode
3523335
Title
Learning accurate finite-state structural models of words through the ECGI algorithm
Author
Rulot, Héctor ; Prieto, Natividad ; Vidal, Enrique
Author_Institution
Centro de Inf., Valencia Univ., Spain
fYear
1989
fDate
23-26 May 1989
Firstpage
643
Abstract
The ECGI (error correcting grammatical inference) algorithm is a recently introduced automatic learning method. The authors present improvements to the ECGI and the corresponding experiments to test these improvements. The results show the ability of the ECGI to obtain structural models of (isolated) words which enable a very high speaker-independent recognition rate to be achieved
Keywords
speech recognition; ECGI algorithm; automatic learning method; error correcting grammatical inference; finite-state structural models; speaker-independent recognition rate; speech recognition; Automatic speech recognition; Electrocardiography; Error correction; Labeling; Speech recognition; Stochastic processes; Training data; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location
Glasgow
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1989.266509
Filename
266509
Link To Document