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

Speech recognition-can user problems be predicted?

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 $31
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

1 Author(s)
Baber, C. ; Birmingham Univ., UK

Some of the existing theories which form the basis for a viable account of automatic speech recognition (ASR) use are discussed. A number of factors which fall under the general umbrella of user problems are considered in terms of vocabulary/dialogue design, task performance and extraneous factors. The models of ASR use are discussed with reference to psycholinguistics, multiple resources, working memory and the principles of compatibility, derived from ergonomics

Published in:

Telecommunications, Consumer and Industrial Applications of Speech Technology, IEE Colloquium on

Date of Conference:

14 May 1992

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.