By Topic

Discriminative utterance verification using minimum string verification error (MSVE) training

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

4 Author(s)
Rahim, M.G. ; AT&T Bell Labs., Murray Hill, NJ, USA ; Chin-Hui Lee ; Biing-Hwang Juang ; Wu Chou

This paper focuses on one aspect of achieving flexible speech recognition, namely, improving the ability to cope with naturally spoken utterances through discriminative utterance verification. We propose an algorithm for training utterance verification systems based on the minimum verification error (MVE) training framework. Experimental results on speaker-independent connected digits, show a significant improvement in verification accuracy when the discriminant function used in MVE training is made consistent with the confidence measure used in utterance verification. At a 10% rejection rate, for example, the new proposed method reduces the string error rate by a further 22.7% over our previously reported results in which the MVE based discriminative training was not incorporated

Published in:

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on  (Volume:6 )

Date of Conference:

7-10 May 1996