Title :
On Adjusting the Learning Rate in Frequency Domain Echo Cancellation With Double-Talk
Author :
Valin, Jean-Marc
Author_Institution :
CSIRO ICT Centre, Marsfield, NSW
fDate :
3/1/2007 12:00:00 AM
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
Keywords :
acoustic signal detection; adaptive filters; echo suppression; frequency-domain analysis; least mean squares methods; double-talk detection technique; echo path change; frequency domain echo cancellation; multidelay block frequency domain adaptive filter; normalized least mean square algorithm; optimal learning rate; Adaptive filters; Change detection algorithms; Coherence; Delay estimation; Detection algorithms; Echo cancellers; Echo interference; Frequency domain analysis; Noise cancellation; Signal to noise ratio; Acoustic echo cancellation; adaptive learning rate; double-talk; echo path change; multidelay block frequency domain (MDF) algorithm; normalized least mean square (NLMS) algorithm;
Journal_Title :
Audio, Speech, and Language Processing, IEEE Transactions on
DOI :
10.1109/TASL.2006.885935
