NDLI: Connected-digit speaker-dependent speech recognition using a neural network with time-delayed connections

Content Provider	IEEE Xplore Digital Library
Author	Unnikrishnan, K.P. Hopfield, J.J. Tank, D.W.
Copyright Year	1991
Abstract	An analog neural network that can be taught to recognize stimulus sequences is used to recognize the digits in connected speech. The circuit computes in the analog domain, using linear circuits for signal filtering and nonlinear circuits for simple decisions, feature extraction, and noise suppression. An analog perceptron learning rule is used to organize the subset of connections used in the circuit that are specific to the chosen vocabulary. Computer simulations of the learning algorithm and circuit demonstrate recognition scores >99 % for a single-speaker connected-digit data base. There is no clock. The circuit is data driven, and there is no necessity for endpoint detection or segmentation of the speech signal during recognition. Training in the presence of noise provides noise immunity up to the trained level. For the speech problem studied, the circuit connections need only be accurate to about 3-b digitization depth for optimum performance. The algorithm used maps efficiently onto analog neutral network hardware.<>
Sponsorship	IEEE Signal Processing Society
Starting Page	698
Ending Page	713
Page Count	16
File Size	1422166
File Format	PDF
ISSN	1053587X
Volume Number	39
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech recognition Circuit noise Noise level Neural networks Analog computers Linear circuits Nonlinear filters Filtering Nonlinear circuits Feature extraction
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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