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
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