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Proceedings Paper

Speech recognition using optical neural networks
Author(s): Jason M. Kinser; Charles F. Hester
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Paper Abstract

Neural network researchers have recently addressed the problem of speech recognition. Most networks, however, offer solutions to the problem through complicated structures or complicated learning schemes. It is our goal to present extremely simple and fast learning algorithms that provide large discrimination between words. This large discrimination will allow this system to be designed into a simple optical computer architecture with minimum learning and yet maximum computation capacity.

Paper Details

Date Published: 1 July 1990
PDF: 14 pages
Proc. SPIE 1215, Digital Optical Computing II, (1 July 1990); doi: 10.1117/12.18087
Show Author Affiliations
Jason M. Kinser, Teledyne Brown Engineering (United States)
Charles F. Hester, Teledyne Brown Engineering (United States)


Published in SPIE Proceedings Vol. 1215:
Digital Optical Computing II
Raymond Arrathoon, Editor(s)

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