Adaptation of Acoustic Echo Cancellers Exploiting Spectral Characteristics of Room Impulse Responses

Authors:

Antweiler, C.

Book Title:

Proceedings of International Workshop on Acoustic Echo and Noise Control (IWAENC)

Organization:

n.n.

Pages:

p.p. 57-60

Address:

London, Great Britain

Date:

Sep. 1997

Language:

English

Abstract

Adaptive filters are used extensively in telecommunication e.g.for acoustic echo control, noise reduction or channel equalization. The so called normalized least mean square (NLMS) algorithm represents one of the most widely used gradient-based adaptation algorithm.
One of the main problems of the NLMS algorithm in an echo control application is that the adaptation is driven by speech signals, i.e.spectrally colored signals, which reduce the convergence speed significantly. In this paper an alternative approach to several existing algorithms (e.g.[1,6,7]) is introduced, which is based on a priori knowledge of the spectral characteristics of the room impulse response in form of spectral weighting filters. This technique results in an accelerated convergence rate and benefits from a more robust behavior in the presence of background noise, such as occurring for example in a car. Besides the theoretical derivation of the proposed algorithm its realization aspects, complexity features, and simulation results are discussed in detail.

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