A Cascaded Semi-Blind Source Separation Method for Joint Acoustic Echo Cancellation, Interference Suppression, and Noise Reduction

Xianrui Wang, Kaien Mo, Yichen Yang, Liyuan Zhang, Shoji Makino, Jingdong Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Acoustic echo cancellation (AEC), interference suppression, and noise reduction play important roles in full-duplex communication. However, conventional systems that cascade adaptive filters and beamformers often experience a degradation in performance during doubletalk situations. To tackle this issue, this paper presents a multichannel semi-blind-source-separation (SBSS) method that combines the element-wise iterative source steering (EISS) AEC algorithm with a geometrically constrained independent vector analysis source extraction algorithm for full-duplex communications. Simulation results confirm the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2024 18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages369-373
Number of pages5
ISBN (Electronic)9798350361858
DOIs
StatePublished - 2024
Event18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024 - Aalborg, Denmark
Duration: 9 Sep 202412 Sep 2024

Publication series

Name2024 18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024 - Proceedings

Conference

Conference18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024
Country/TerritoryDenmark
CityAalborg
Period9/09/2412/09/24

Keywords

  • Acoustic echo cancellation
  • interference suppression
  • noise reduction
  • semi-blind source separation

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