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
Link To Document :
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