DocumentCode
2623943
Title
Speech recognition experiments with guided propagation
Author
Escande, P. ; Béroule, D. ; Blanchet, P.
Author_Institution
LIMSI-CNRS, Orsay, France
fYear
1991
fDate
18-21 Nov 1991
Firstpage
765
Abstract
The authors discuss some features of the associative memory which supports the processing principle called guided propagation, including its requirement for a specific representation of input patterns. The way this approach is currently applied to speech processing is then described. In comparison with a classical speech recognizer, a software simulation of the proposed system is shown to be better at identifying superimposed speech signals
Keywords
content-addressable storage; neural nets; speech recognition; associative memory; guided propagation; input patterns; software simulation; speech processing; speech recognition; superimposed speech signals; Associative memory; Biological information theory; Biological system modeling; Computer architecture; Delay; Man machine systems; Psychology; Signal processing; Speech processing; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN
0-7803-0227-3
Type
conf
DOI
10.1109/IJCNN.1991.170492
Filename
170492
Link To Document