Publications-Detail

New Insights into the Statistical Signal Model and the Performance Bounds of Acoustic Echo Control

Authors:
Enzner, G.Vary, P.
Book Title:
Proceedings of European Signal Processing Conference (EUSIPCO)
Date:
Sep. 2005
Language:
English

Abstract

The contribution of this paper is two-fold. At first, we introduce a modi¯cation of the linear statistical signal model in acoustic echo control. In contrast to the traditional approach, the acoustic echo path is characterized as a random process with statistical mean and covariance, while the echo path input is modeled as a deterministic signal. Based on the modified signal model, we then derive the linear MMSE estimator for the near-end speech components in the micro-
phone signal. The result can be seen as a generalized Wiener filter that consists of an acoustic echo canceler and a postfilter for residual echo suppression. The presented theory entails several fundamental advantages: a) the new signal model better matches the practical
applications of acoustic echo control, b) it proves the principal coexistence of echo canceler and postfilter in hands-free communication systems, c) the generalized Wiener solution simplifies the realization of acoustic echo controllers, and d) we obtain a better insight into the performance bounds of acoustic echo control.

Download

BibTeX

Copyright © by IKS
enzner05b.pdf
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.