DocumentCode
2432351
Title
Real time neural networks. III. Alternative neural networks for speech applications
Author
Tatman, Günhan ; Jannarone, R.
Author_Institution
Dept. of Electr. & Comput. Eng., South Carolina Univ., Columbia, SC, USA
fYear
1991
fDate
10-12 Mar 1991
Firstpage
591
Lastpage
596
Abstract
For pt.II, see ibid., p.584-90 (1991). Waibel Sawai and Shikano (1989), have successfully used traditional neural networks (TNNs), in conjunction with a certain time-delay framework, to recognize phonemes in spoken Japanese syllables. In this paper, the authors first describe Waibel et. al.´s time delay neural network model. They then make several modifications to that model and indicate how procedures can be developed to automatically identify key variables and their cross products, within the structured conjunctoid neural net framework rather than the nonparametric TNN framework,
Keywords
neural nets; speech recognition; conjunctoid neural net; speech recognition; spoken Japanese syllables; time delay neural network model; traditional neural networks; Data mining; Delay effects; Equations; Fires; Logic devices; Logistics; Neural networks; Neurons; Speech; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1991. Proceedings., Twenty-Third Southeastern Symposium on
Conference_Location
Columbia, SC
ISSN
0094-2898
Print_ISBN
0-8186-2190-7
Type
conf
DOI
10.1109/SSST.1991.138636
Filename
138636
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