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Frequency-Domain Volterra Filter Based on Data-Driven Soft Decision for Nonlinear Acoustic Echo Suppression

Title
Frequency-Domain Volterra Filter Based on Data-Driven Soft Decision for Nonlinear Acoustic Echo Suppression
Author
장준혁
Keywords
Data-driven training method; multi-tap least squares estimator; nonlinear acoustic echo suppression; soft decision
Issue Date
2014-09
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE Signal Processing Letters IEEE Signal Process. Lett. Signal Processing Letters, 2014, 21(9), p.1088-1092
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.
URI
http://ieeexplore.ieee.org/document/6818384/?reload=truehttp://hdl.handle.net/20.500.11754/48681
ISSN
1070-9908; 1558-2361
DOI
10.1109/LSP.2014.2325644
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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