DocumentCode :
1743191
Title :
Frequency domain step-size control in non-stationary environments
Author :
Vogel, Julia ; Heckmann, Martin ; Kroschel, Kristian
Author_Institution :
Inst. of Sci. Comput., Swiss Fed. Inst. of Technol., Zurich, Switzerland
Volume :
1
fYear :
2000
fDate :
Oct. 29 2000-Nov. 1 2000
Firstpage :
212
Abstract :
The presented algorithm detects changes of the loud-speaker enclosure microphone (LEM) system in an acoustic echo cancellation setup under non-stationary noise conditions. Changes of the LEM system entail a mismatch of the cancellation filter, consequently making the beforehand cancelled echos audible again. The new algorithm avoids the reduction of the adaptation speed after these changes. System changes are detected by monitoring the different behavior of two coherences: these changes have only a small impact on the coherence between the microphone and the loudspeaker signal, whereas they significantly influence the coherence between the microphone signal and the output of the cancellation filter.
Keywords :
acoustic noise; acoustic signal processing; adaptive filters; adaptive signal processing; echo suppression; filtering theory; frequency-domain analysis; loudspeakers; microphones; acoustic echo cancellation; adaptation speed; adaptive filter; additive noise; algorithm; cancellation filter; convergence; double-talk detection; frequency domain step-size control; frequency-selectivity; loud-speaker enclosure microphone system; loudspeaker signal; microphone signal; nonstationary environments; nonstationary noise conditions; Acoustic noise; Adaptive filters; Additive noise; Echo cancellers; Frequency domain analysis; Loudspeakers; Microphones; Noise cancellation; Noise level; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-6514-3
Type :
conf
DOI :
10.1109/ACSSC.2000.910947
Filename :
910947
Link To Document :
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