DocumentCode :
3276204
Title :
Representational issues in a neural network model of syllable recognition
Author :
Anderson, J.A.
fYear :
1989
fDate :
0-0 1989
Firstpage :
19
Abstract :
Methods of applying neural network-based methods to the perception of speech sounds are developed and examined. The authors briefly outline the network architecture and algorithms that they have found useful in implementing a consonant-vowel syllable recognizer. They review in detail the input representations used and present some simulations comparing the performance of their system with the different input representation combinations.<>
Keywords :
content-addressable storage; neural nets; speech recognition; consonant-vowel syllable recognizer; neural network model; representational issues; speech perception; speech sounds; Associative memories; Neural networks; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location :
Washington, DC, USA
Type :
conf
DOI :
10.1109/IJCNN.1989.118554
Filename :
118554
Link To Document :
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