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Author Siho Kim ♦ Keunsung Bae
Sponsorship IEEE Signal Process. Soc
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2002
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Adaptive filters ♦ Echo cancellers ♦ Microphones ♦ Detection algorithms ♦ Acoustic signal detection ♦ Computer errors ♦ Error correction ♦ Computer simulation ♦ High performance computing ♦ Equations
Abstract This paper deals with the problem of double-talk (DT) detection in an acoustic echo canceller (AEC). In the DT detection algorithm with correlation coefficient, detection errors occasionally occur because it is hard to set the threshold to distinguish DT from echo path change (EPC). When EPC is erroneously considered as DT at the starting point of EPC, the adaptive filter can fall into the situation that it stops updating its filter coefficients. In addition, in case of echo path changing during the DT period, the end-point detection of DT period fails so that the adaptive filter cannot update its tap coefficients even after the DT period ends. To solve this problem, in this paper, we propose a new DT detection algorithm with an auxiliary filter. We use the idea that the error signal cannot be estimated using a reference signal in case of DT situation but it can be in case of EPC. The computer simulation verifies that the proposed method could solve the problem caused by the DT detection error or echo path change during the DT period.
Description Author affiliation: Sch. of Electron. & Electr. Eng., Kyungpook Nat. Univ., Daegu, South Korea (Siho Kim; Keunsung Bae)
ISBN 0780381165
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2002-10-16
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 253.77 kB
Page Count 4
Starting Page 207
Ending Page 210


Source: IEEE Xplore Digital Library