By Topic

A novel subspace speech enhancement approach based on test of hypothesis and masking properties

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)
Wenju Liu ; Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China ; Ning Cheng ; Chao Li

A novel signal subspace algorithm based on test of hypothesis and masking properties of the human auditory system is proposed for microphone array speech enhancement. Different from conventional empirism dependent methods, first, for the optimal subspace selection, the paper determines the subspace dimension via solving a test of hypothesis. Then, according to the characters of the speech signal eigenvalues, we use conditional probability to compute the noise variance. At last, the masking properties of human auditory mechanism are incorporated in the subspace approach to estimate the linear filter. Simulation results show the superiority of our proposed novel approach over other existing speech enhancement algorithms in terms of four objective speech quality measures.

Published in:

Chinese Spoken Language Processing (ISCSLP), 2010 7th International Symposium on

Date of Conference:

Nov. 29 2010-Dec. 3 2010