A New Robust Frequency Domain Echo Canceller With Closed-Loop Learning Rate Adaptation
Sound
2016-03-01 v1 Systems and Control
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. 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.
Cite
@article{arxiv.1602.08609,
title = {A New Robust Frequency Domain Echo Canceller With Closed-Loop Learning Rate Adaptation},
author = {Jean-Marc Valin and Iain B. Collings},
journal= {arXiv preprint arXiv:1602.08609},
year = {2016}
}
Comments
4 pages, Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2007