By Topic

Utterance classification confidence in automatic 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

2 Author(s)
Kimball, R. ; Xerox Corporation, Palo Alto, CA. ; Rothkopf, M.

A variety of automatic speech recognition experiments have been executed that support a measure of confidence for utterance classification. The confidence measure tested was the ratio of the two best "Hamming distance" scores obtained in matching utterance templates with an unknown utterance. The results show that it is possible to reliably predict when the utterance classifier has made the correct decision.

Published in:

Acoustics, Speech and Signal Processing, IEEE Transactions on  (Volume:24 ,  Issue: 2 )