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