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