Frequency-Domain Volterra Filter Based on Data-Driven Soft Decision for Nonlinear Acoustic Echo Suppression
- Authors
- Park, Jihwan; Chang, 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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