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

New low rate wavelet models for the recognition of single spoken digits

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)
Karam, J.R. ; Dept. of Eng. Math., Dalhousie Univ., Halifax, NS, Canada ; Phillips, W.J. ; Robertson, W.

This paper describes three models acquired by applying various wavelet analysis techniques to subwords for the purpose of speaker independent single digit recognition. We emphasize the parameterization of the subwords according to a Mel scale in the cases of the sampled continuous wavelet transform (SCWT) and the wavelet packet decomposition (WPD). When using the discrete wavelet transform (DWT), a logarithmic segmentation is obtained and with it comes a very low parameter representation with a reduction of 3:1 when compared with the other two introduced models and with the Mel scale model. The DWT model has advantage over the other two due to its simplicity and fast implementation. Previous work by Phillips, Tosuner and Robertson (1995), based on preprocessing using traditional Fourier transform (FT) followed by a radial basis functions artificial neural network (RBF-ANN) yielded recognition in 90% range. Our results show that these new models outperformed the Mel scale model

Published in:

Electrical and Computer Engineering, 2000 Canadian Conference on  (Volume:1 )

Date of Conference:

2000

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.