DocumentCode :
286272
Title :
The application of k-testable languages in the strict sense to phone recognition in automatic speech recognition
Author :
Galiano, I. ; Segarra, E.
Author_Institution :
Dept. Sistemas Inf. y Computacion, Univ. Politecnica de Valencia, Spain
fYear :
1993
fDate :
22-23 Apr 1993
Abstract :
The aim of the work is to show the feasibility and the appeal of characterizable methods of grammatical inference in establishing the required structural models for particular syntactic pattern recognition problems, so as to allow a satisfactory performance to be achieved. In particular, the authors have chosen the application area of automatic speech recognition. They describe two applications in Spanish phone recognition of the use of k=2 and k=3 testable languages in the strict sense (k-TLSS) inductively learned via the k-TSS inference algorithm
Keywords :
grammars; inference mechanisms; speech recognition; ASR; Spanish phone recognition; automatic speech recognition; characterizable methods; grammatical inference; inductively learned; k-TLSS; k-TSS inference algorithm; k-testable languages; required structural models; syntactic pattern recognition problems; testable languages;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Grammatical Inference: Theory, Applications and Alternatives, IEE Colloquium on
Conference_Location :
Colchester
Type :
conf
Filename :
243133
Link To Document :
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