Adaptive sampling rate correction for acoustic echo control in voice-over-IP

Authors:
Matthias Pawig;Gerald Enzner;Peter Vary
Affiliations:
Institute of Communication Systems and Data Processing, RWTH Aachen University, Aachen, Germany;Institute of Communication Acoustics, Ruhr-University, Bochum, Bochum, Germany;Institute of Communication Systems and Data Processing, RWTH Aachen University, Aachen, Germany
Venue:
IEEE Transactions on Signal Processing
Year:
2010

Citing 8
Cited 1

Adaptive filter theory (3rd ed.)

Adaptive filter theory (3rd ed.)
Step-size control for acoustic echo cancellation filter—an overview

Signal Processing - Special issue on current topics in adaptive filtering for hands-free acoustic communication and beyond
Advanced Topics in Digital Signal Processing

Advanced Topics in Digital Signal Processing
Design of digital systems for arbitrary sampling rate conversion

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Acoustic Echo and Noise Control: A Practical Approach

Acoustic Echo and Noise Control: A Practical Approach
Frequency-domain adaptive Kalman filter for acoustic echo control in hands-free telephones

Signal Processing
Advances in Digital Speech Transmission

Advances in Digital Speech Transmission
Advances in Network and Acoustic Echo Cancellation

Advances in Network and Acoustic Echo Cancellation

Drift-compensated adaptive filtering for improving speech intelligibility in cases with asynchronous inputs

EURASIP Journal on Advances in Signal Processing

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Abstract

Hands-free terminals for speech communication employ adaptive filters to reduce echoes resulting from the acoustic coupling between loudspeaker and microphone. When using a personal computer with commercial audio hardware for teleconferencing,a sampling frequency offset between the loudspeaker output D/A converter and the microphone input A/D converter often occurs. In this case, state-of-the-art echo cancellation algorithms fail to track the correct room impulse response. In this paper, we present a novel least mean square (LMS-type) adaptive algorithm to estimate the frequency offset and resynchronize the signals using arbitrary sampling rate conversion. In conjunction with a normalized LMS-type adaptive filter for room impulse response tracking, the proposed system widely removes the deteriorating effects of a frequency offset up to several Hz and restores the functionality of echo cancellation.