A Neural Model of Centered Tri-gram Speech Recognition

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Permanent URL	http://hdl.lib.byu.edu/1877/2409
Title	A Neural Model of Centered Tri-gram Speech Recognition
BYU Creator	Martinez, Tony R. Ventura, Dan A. Wilson, D. Randall
Creator	Moncur, Brian
Keywords	speech recognition; relaxation network model
Description/Abstract	A relaxation network model that includes higher order weight connections is introduced. To demonstrate its utility, the model is applied to the speech recognition domain. Traditional speech recognition systems typically consider only that context preceding the word to be recognized. However, intuition suggests that considering both preceding context as well as following context should improve recognition accuracy. The work described here tests this hypothesis by applying the higher order relaxation network to consider both precedes and follows context in speech recognition. The results demonstrate both the general utility of the higher order relaxation network as well as its improvement over traditional methods on a speech recognition task.
Source	Ventura D., Wilson, D. R., Moncur B., and Martinez, T. R., "A Neural Model of Centered Tri-gram Speech Recognition", Proceedings of the IEEE International Joint Conference on Neural Networks IJCNN'99, CD paper #2188, 1999.;
Publisher	IEEE
Date Original	1999
Date Digital	2010-09-09
Language	English eng en
Publication Type	Peer-Reviewed Articles Conference Proceedings
Type	Text
Format	application/pdf
Owning Institution	Brigham Young University
BYU College	College of Physical and Mathematical Sciences
BYU Department	Computer Science
Copyright Status	(c) 1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.;
Copyright Use Information	http://www.lib.byu.edu/generic_copyright.html

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A Neural Model of Centered Tri-gram Speech Recognition

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