By Topic

Text-independent speaker identification based on explicit exploitation of stochastic characteristics of test utterance

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

3 Author(s)
Tsai, W.H. ; Philips Res. East Asia, Taipei, Taiwan ; Chang, W.W. ; Huang, C.S.

The benefit of exploiting the stochastic characteristics of test utterance for speaker identification (speaker ID) via cross likelihood ratio and Bayesian information criterion is explored. Simulation results demonstrate the superiority of the proposed approaches over the conventional speaker ID based on maximum likelihood decision rule

Published in:

Electronics Letters  (Volume:37 ,  Issue: 25 )