On Speech Enhancement Using Microphone Arrays in the Presence of Co-Directional Interference

Xin Leng, Jingdong Chen, Jacob Benesty, Israel Cohen

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

Abstract

Beamforming using microphone arrays has been widely used for enhancing speech signals of interest and suppressing noise and interference in a wide range of applications. In order to make it work, beamforming generally assumes that the speech source of interest and the interference source are incident to the array from different directions. In this paper, we study the case where both the speech and interference sources come from the same direction. A linearly constrained minimum variance (LCMV) beamformer is derived in this scenario based on the so-called widely linear (WL) estimation framework in the frequency domain. We analyze this beamformer and show how its performance depends on the second-order non-circularity of the desired speech and interference sources.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
Pages511-515
Number of pages5
DOIs
StatePublished - 10 Sep 2018
Event2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada
Duration: 15 Apr 201820 Apr 2018

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2018-April

Conference

Conference2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
Country/TerritoryCanada
CityCalgary
Period15/04/1820/04/18

Keywords

  • Beamforming
  • Linearly constrained minimum variance (LCMV)
  • Noncircularity
  • Speech enhancement
  • Widely linear filtering

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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