A New Robust Frequency Domain Echo Canceller with Closed-Loop Learning Rate Adaptation

One of the main dif culties in echo cancellation is the fact that the learning rate needs to vary according to conditions such as double-talk and echo path change. Several methods have been proposed to vary the learning. In this paper we propose a new closed-loop method where the learning rate is proportional to a misalignment parameter, which is in turn estimated based on a gradient adaptive approach. The method is presented in the context of a multidelay block frequency domain (MDF) echo canceller. We demonstrate that the proposed algorithm outperforms current popular double-talk detection techniques by up to 6 dB.

• Type: Conference
• Year: 2007
• Where: ICASSP
• Authors: Jean-Marc Valin, Iain B. Collings
• Keywords: Echo Cancellation, Echo Path Change, ICASSP 2007, Learning Rate, Signal Processing