DocumentCode
792268
Title
New insights into the stereophonic acoustic echo cancellation problem and an adaptive nonlinearity solution
Author
Gansler, Tomas ; Benesty, Jacob
Author_Institution
Media Signal Process. Res. Dept., Agere Syst., Murray Hill, NJ, USA
Volume
10
Issue
5
fYear
2002
fDate
7/1/2002 12:00:00 AM
Firstpage
257
Lastpage
267
Abstract
We expand the knowledge regarding the problems of two-channel (or stereophonic) echo cancellation. The major difference between two-channel and the single-channel echo cancellation is the problem of nonunique solutions in the two-channel case. In previous work, this nonuniqueness problem has been linked to the coherence between the two incoming audio channels. One proven solution to this problem is to distort the signals with a nonlinear device. In this work, we present new theory that gives insight to the existing links between: (i) coherence and level of distortion, and (ii) coherence and achievable misalignment of the stereophonic echo canceler. Furthermore, we present an adaptive nonlinear device that incorporates this new knowledge in such a way that a pre-specified maximum misalignment is maintained while improving the perceived quality by minimizing the introduced distortion. Moreover, all the ideas presented can be generalized to the multichannel (>2) case.
Keywords
Hi-Fi equipment; acoustic signal processing; adaptive filters; adaptive signal processing; audio signal processing; echo suppression; filtering theory; teleconferencing; adaptive filter; adaptive nonlinear device; adaptive nonlinearity solution; audio channels coherence; audio streams; nonunique solutions; nonuniqueness problem; single-channel echo cancellation; stereophonic acoustic echo cancellation; stereophonic echo canceler misalignment; two-channel echo cancellation; two-channel teleconference; Acoustic distortion; Decorrelation; Degradation; Echo cancellers; Filters; Jacobian matrices; Nonlinear acoustics; Nonlinear distortion; Streaming media; Teleconferencing;
fLanguage
English
Journal_Title
Speech and Audio Processing, IEEE Transactions on
Publisher
ieee
ISSN
1063-6676
Type
jour
DOI
10.1109/TSA.2002.800554
Filename
1021069
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