DocumentCode
311307
Title
A robust frequency-domain echo canceller
Author
Gansler, T.
Author_Institution
Dept. of Appl. Electron., Lund Univ.
Volume
3
fYear
1997
fDate
21-24 Apr 1997
Firstpage
2317
Abstract
A recursive transfer function estimation algorithm is presented and analyzed. Applications can be found in either electric or acoustic echo cancellation. The proposed algorithm is robust against burst disturbances that are caused by detection misses of double-talk present at the output of the echo path. A frequency-domain technique is used and a robustness function is derived from a criterion that is valid in the application. Analysis of the robust algorithm shows that good performance is to be expected. The performance of the algorithm when operated on real-life speech data in a full duplex communication system is shown by examples. Double-talk detection misses are shown to be well handled by the robust algorithm; yet, convergence rate and variance efficiency are as high as that of a non-robust least squares algorithm
Keywords
FIR filters; acoustic filters; acoustic signal processing; adaptive filters; echo suppression; frequency-domain analysis; recursive estimation; transfer functions; acoustic echo cancellation; burst disturbances; convergence rate; detection misses; double-talk; double-talk detection misses; echo path; electric echo cancellation; frequency-domain technique; full duplex communication system; nonrobust least squares algorithm; performance; real-life speech data; recursive transfer function estimation algorithm; robust frequency-domain echo canceller; robustness function; variance efficiency; Acoustic applications; Acoustic signal detection; Algorithm design and analysis; Echo cancellers; Frequency domain analysis; Performance analysis; Recursive estimation; Robustness; Speech; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location
Munich
ISSN
1520-6149
Print_ISBN
0-8186-7919-0
Type
conf
DOI
10.1109/ICASSP.1997.599516
Filename
599516
Link To Document