DocumentCode
1445496
Title
Stereophonic Acoustic Echo Suppression Based on Wiener Filter in the Short-Time Fourier Transform Domain
Author
Yang, Feiran ; Wu, Ming ; Yang, Jun
Author_Institution
State Key Lab. of Acoust., Inst. of Acoust., Beijing, China
Volume
19
Issue
4
fYear
2012
fDate
4/1/2012 12:00:00 AM
Firstpage
227
Lastpage
230
Abstract
An open-loop stereophonic acoustic echo suppression (SAES) method without preprocessing is presented for teleconferencing systems, where the Wiener filter in the short-time Fourier transform (STFT) domain is employed. Instead of identifying the echo path impulse responses with adaptive filters, the proposed algorithm estimates the echo spectra from the stereo signals using two weighting functions. The spectral modification technique originally proposed for noise reduction is adopted to remove the echo from the microphone signal. Moreover, a priori signal-to-echo ratio (SER) based Wiener filter is used as the gain function to achieve a trade-off between musical noise reduction and computational load for real-time operations. Computer simulation shows the effectiveness and the robustness of the proposed method in several different scenarios.
Keywords
Fourier transforms; Wiener filters; adaptive filters; echo suppression; microphones; signal denoising; teleconferencing; transient response; SER; STFT domain; Wiener filter; adaptive filter; echo path impulse response identification; echo removal; echo spectra estimation; microphone signal; musical noise reduction; noise reduction; open-loop SAES method; open-loop stereophonic acoustic echo suppression method; short-time Fourier transform domain; signal-to-echo ratio; spectral modification technique; stereo signal; teleconferencing system; weighting function; Echo cancellers; Estimation; Fourier transforms; Materials; Microphones; Signal processing algorithms; A priori signal to echo ratio; convergence rate; stereophonic acoustic echo cancellation; stereophonic acoustic echo suppression; tracking ability;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2012.2187446
Filename
6151041
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