By Topic

A New Statistical Voice Activity Detection Based on UMP Test

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

3 Author(s)
Dong Kook Kim ; Chonnam Nat. Univ., Gwangju ; Keun Won Jang ; Joon-Hyuk Chang

This letter presents a new voice activity detection (VAD) method using a uniformly most powerful (UMP) test to improve the performance of Sohn's et al.'s VAD. The UMP test is employed to derive a redefined decision rule based on the likelihood ratio test (LRT). The proposed method provides the decision rule by comparing the magnitude of the noisy speech signal to the adaptive threshold estimated from the noise statistics. Experimental results show that the proposed VAD algorithm based on the UMP test outperforms those based on the widely used Gaussian distribution.

Published in:

Signal Processing Letters, IEEE  (Volume:14 ,  Issue: 11 )