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Cited 5 time in webofscience Cited 7 time in scopus
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Frequency-Domain Volterra Filter Based on Data-Driven Soft Decision for Nonlinear Acoustic Echo Suppression

Authors
Park, JihwanChang, Joon-Hyuk
Issue Date
Sep-2014
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Data-driven training method; multi-tap least squares estimator; nonlinear acoustic echo suppression; soft decision
Citation
IEEE SIGNAL PROCESSING LETTERS, v.21, no.9, pp.1088 - 1092
Indexed
SCIE
SCOPUS
Journal Title
IEEE SIGNAL PROCESSING LETTERS
Volume
21
Number
9
Start Page
1088
End Page
1092
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/25785
DOI
10.1109/LSP.2014.2325644
ISSN
1070-9908
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.
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Chang, Joon-Hyuk
COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)
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