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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266509
