By Topic

Frequency Domain Blind Signal Extraction: Application to Fast Estimation of Diffuse Background Noise

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)
Even, J. ; Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Nara ; Saruwatari, H. ; Shikano, K.

In this paper, we propose to replace frequency domain blind signal separation (FD-BSS) in hands-free speech applications by frequency domain blind signal extraction (FD-BSE). Unlike conventional FD-BSS methods that aim at separating all the signals, FD-BSE extracts only one signal from the mixture resulting in a faster algorithm. After presenting the FD-BSE method based on mutual information minimization, we show that the proposed method enables fast estimation of the background diffuse noise in a hands-free human/machine communication scenario.

Published in:

Hands-Free Speech Communication and Microphone Arrays, 2008. HSCMA 2008

Date of Conference:

6-8 May 2008