DocumentCode :
3483253
Title :
Neural Nets for Speech Recognition Advantages And Limitations
Author :
Botros, N.
Author_Institution :
Southern Illinois University
fYear :
1991
fDate :
16-18 April 1991
Firstpage :
476
Lastpage :
481
Abstract :
This paper reviews briefly two major pattern recognition algorithms for automatic speech recognition. The first algorithm is based on traditional classifiers such as the nearest neighbor. The second one is based on implementing artificial neural network models. A brief discussion of the limitations of each of the algorithms is presented.
Keywords :
Algorithm design and analysis; Artificial neural networks; Equations; Frequency; Mean square error methods; Neural networks; Pattern matching; Pattern recognition; Speech analysis; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electro International, 1991
Conference_Location :
New York, NY, USA
Type :
conf
DOI :
10.1109/ELECTR.1991.718258
Filename :
718258
Link To Document :
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