DocumentCode :
11205
Title :
Frequency-Domain Volterra Filter Based on Data-Driven Soft Decision for Nonlinear Acoustic Echo Suppression
Author :
Jihwan Park ; Joon-Hyuk Chang
Author_Institution :
Hanyang Univ., Seoul, South Korea
Volume :
21
Issue :
9
fYear :
2014
fDate :
Sept. 2014
Firstpage :
1088
Lastpage :
1092
Abstract :
In this letter, we propose a novel frequency-domain second-order Volterra filter based on soft decision for nonlinear acoustic echo suppression. This letter offers an efficient algorithm for nonlinear echo power estimation using the second-order Volterra filter and an AES algorithm using the estimated nonlinear echo power spectrum within a soft decision baseline by incorporating the ratio of the a priori probability of near-end speech presence and absence, which is obtained by using a data-driven training method.
Keywords :
acoustic signal processing; echo suppression; frequency-domain analysis; nonlinear acoustics; nonlinear estimation; nonlinear filters; probability; AES algorithm; data-driven soft decision; data-driven training method; frequency-domain second-order Volterra filter; nonlinear acoustic echo suppression; nonlinear echo power spectrum estimation; priori probability; Estimation; Frequency-domain analysis; Least squares approximations; Nonlinear acoustics; Signal processing algorithms; Speech; Data-driven training method; multi-tap least squares estimator; nonlinear acoustic echo suppression; soft decision;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2014.2325644
Filename :
6818384
Link To Document :
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