Publications – Details
New Insights into the Statistical Signal Model and the Performance Bounds of Acoustic Echo Control
- Authors:
- Gerald Enzner and Peter Vary
- Book Title:
- Proceedings of European Signal Processing Conference (EUSIPCO)
- Date:
- Sept. 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.
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