Paper Info
Title
A multichannel acoustic echo canceler double-talk detector based on a normalized cross-correlation matrix
Abstract
Multichannel acoustic echo cancellation is basically composed of two parts. One pail is a multichannel system identification problem which is nontrivial to solve. The other part, which is also nontrivial, is the so-called double-talk detection problem. Near-end speech detection is based on a test statistic. Recently. a new double-talk test statistic based on the normalized cross-correlation vector was proposed for the single-channel case. Obviously, in the multichannel case. there are several solutions, but what should be the optimal one is not yet known. Then. a fundamental question arises: how do we deal optimally with multiple channels? In this paper, we generalize the idea of normalized cross-correlation vector (single-channel) to the matrix case (Multichannel). derive a frequency-domain version, and show how to combine both the multichannel frequency-domain adaptive filter and the multichannel double-talk detector.
Year
DOI
Venue
2002
10.1002/ett.4460130204
EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS
Keywords
Field
DocType
system identification,speech detection,adaptive filter,normalized cross correlation,frequency domain
Cross-correlation,Test statistic,Matrix (mathematics),Voice activity detection,Computer science,Electronic engineering,Adaptive filter,Covariance matrix,System identification,Detector
Journal
Volume
Issue
ISSN
13
2
1124-318X
Citations 
PageRank 
References 
8
0.54
11
Authors
2
Name
Order
Citations
PageRank
Jacob Benesty11941146.01
Tomas Gänsler21019.60