NDLI: On Adjusting the Learning Rate in Frequency Domain Echo Cancellation With Double-Talk

Content Provider	IEEE Xplore Digital Library
Author	Valin, J.-M.
Copyright Year	2006
Abstract	One of the main difficulties in echo cancellation is the fact that the learning rate needs to vary according to conditions such as double-talk and echo path change. In this paper, we propose a new method of varying the learning rate of a frequency-domain echo canceller. This method is based on the derivation of the optimal learning rate of the normalized least mean square (NLMS) algorithm in the presence of noise. The method is evaluated in conjunction with the multidelay block frequency domain (MDF) adaptive filter. We demonstrate that it performs better than current double-talk detection techniques and is simple to implement
Sponsorship	IEEE Signal Processing Society
Starting Page	1030
Ending Page	1034
Page Count	5
File Size	350219
File Format	PDF
ISSN	15587916
Volume Number	15
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency domain analysis Echo cancellers Adaptive filters Change detection algorithms Noise cancellation Delay estimation Echo interference Detection algorithms Coherence Signal to noise ratio normalized least mean square (NLMS) algorithm Acoustic echo cancellation adaptive learning rate double-talk echo path change multidelay block frequency domain (MDF) algorithm
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Electrical and Electronic Engineering

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