DocumentCode
275968
Title
Dynamic coupling weights in a neural network system
Author
Wu, P. ; Warwick, K.
Author_Institution
Reading Univ., UK
fYear
1991
fDate
18-20 Nov 1991
Firstpage
350
Lastpage
353
Abstract
A number of applications of Neural Network Systems (NNS) for speech signal processing have been developed, Kohonen (1988), Wu, Warwick and Koska (1990), Wu and Warwick (1990). The concept of feature maps makes the display of phoneme recognition result directly from the output of a NN System in the form of a two-dimensional map. Chinese phoneme feature maps have also been tested in a similarly structured NN System. The authors introduce new improvements in that the dynamic coupling weight concept is provided by means of a switch structure. This makes the weights changeable even during the recognition process of the NN system. The required function can be achieved to enhance the feedback between units either in a positive or negative fashion, furthermore, a multi-switch structure can also be designed. This enlarges the adjustable range of weights, and above all, the improvement provides the opportunity to use knowledge from an artificial intelligent system to control the logic of the switches
Keywords
neural nets; speech analysis and processing; speech recognition; Chinese phoneme feature maps; Hopfield model; Kohonen model; Neural Network Systems; artificial intelligent; dynamic coupling weight; feature map bubble; multi-switch structure; neural network system; phoneme recognition; speech signal processing; time-varying speech signal; two-dimensional map;
fLanguage
English
Publisher
iet
Conference_Titel
Artificial Neural Networks, 1991., Second International Conference on
Conference_Location
Bournemouth
Print_ISBN
0-85296-531-1
Type
conf
Filename
140347
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