By Topic

Using context knowledge to improve the accuracy of recognition in voice browsing

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
$33 $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)
Li HongLian ; Inst. of Comput. & Inf. Technol., Northern Jiaotong Univ., Beijing, China ; Wang ChunHua ; Yuan BaoZong

The accuracy of speech recognition is still a bottleneck to baffle the application of speech technology. We may improve the accuracy of recognition greatly by using context knowledge efficiently. In Web speech browsing, a user's speech input is usually one element of a finite set. Based on these observations, the paper first defines a kind of similarity between two Chinese text strings, then processes the recognition results of the engine to acquire more accurate results. Experiments show that our approach is mostly efficient.

Published in:

Signal Processing, 2002 6th International Conference on  (Volume:1 )

Date of Conference:

26-30 Aug. 2002