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

Combining fuzzy vector quantization and neural network classification for robust isolated word speech 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)
Lin Cong ; Dept. of Electr. Eng., Manchester Univ., UK ; Xydeas, C.S. ; Erwood, A.F.

The issue of robust isolated word speech recognition in cases where the input signal is corrupted by acoustic noise, is addressed with a new fuzzy vector quantization (FVQ)/neural network scheme. The proposed system combines in a simple and effective way the fuzzy classification capability of FVQ with the non-linear pattern discrimination power of the multi-layer perception (MLP) neural network. The paper thus defines the design and algorithmic operation of this system and compares its recognition performance to that of a conventional FVQ/hidden Markov model (HMM) system. Computer simulation results obtained using speech corrupted by car or white noise indicate that FVQ/MLP provides significantly better performance than FVQ/HMM

Published in:

Singapore ICCS '94. Conference Proceedings.  (Volume:3 )

Date of Conference:

14-18 Nov 1994

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.