Cart (Loading....) | Create Account
Close category search window
 

On-chip multi-layer perceptron and time-delay neural networks for phoneme recognition

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Gatt, E. ; Dept. of Microelectron., Univ. of Malta, Msida ; Micallef, J. ; Chilton, E.

This paper presents a back-propagation neural network for phoneme recognition. The neural network has been implemented on-chip using 0.35 mum three-metal dual-poly CMOS technology. The results obtained for multi-layer perceptrons (MLP) and time-delay neural network (TDNN) implementations for phoneme recognition systems are presented. The paper also presents the performance characteristics for the chip.

Published in:

Electronics, Circuits and Systems, 2005. ICECS 2005. 12th IEEE International Conference on

Date of Conference:

11-14 Dec. 2005

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.