DocumentCode :
274176
Title :
Using a connectionist network to eliminate redundancy from a phonetic lattice in a speech recognition system
Author :
Caharel, M.H. ; Miclet, L.
Author_Institution :
CNET, Lannion, France
fYear :
1989
fDate :
16-18 Oct 1989
Firstpage :
301
Lastpage :
305
Abstract :
In the Keal System (see G. Mercier, IEE Proceeding, vol.136, no.2 (1989)), as in most analytical speech recognition systems, the speech signal is processed in a bottom-up sequence of steps. In Keal, these steps are: acoustic-phonetic decoding, lexical analysis, and syntactic and semantic analysis. The purpose of this study is to simplify the result of the first module, namely the phonetic lattice, by removing its internal redundancy. This is achieved by using a connectionist network as a `filter´ in order to transform the lattice into a string. The task of the lexical decoder is simplified
Keywords :
decoding; filtering and prediction theory; neural nets; speech analysis and processing; speech recognition; Keal System; connectionist network; lexical decoder; multilayer perceptrons; neural nets; phonetic lattice; redundancy; speech recognition; string;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Artificial Neural Networks, 1989., First IEE International Conference on (Conf. Publ. No. 313)
Conference_Location :
London
Type :
conf
Filename :
51980
Link To Document :
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