The binaural LCMV beamformer and its performance analysis

Elior Hadad, Simon Doclo, Sharon Gannot

Research output: Contribution to journalArticlepeer-review

77 Scopus citations

Abstract

The recently proposed binaural linearly constrained minimum variance (BLCMV) beamformer is an extension of the well-known binaural minimum variance distortionless response (MVDR) beamformer, imposing constraints for both the desired and the interfering sources. Besides its capabilities to reduce interference and noise, it also enables to preserve the binaural cues of both the desired and interfering sources, hence making it particularly suitable for binaural hearing aid applications. In this paper, a theoretical analysis of the BLCMV beamformer is presented. In order to gain insights into the performance of the BLCMV beamformer, several decompositions are introduced that reveal its capabilities in terms of interference and noise reduction, while controlling the binaural cues of the desired and the interfering sources. When setting the parameters of the BLCMV beamformer, various considerations need to be taken into account, e.g. based on the amount of interference and noise reduction and the presence of estimation errors of the required relative transfer functions (RTFs). Analytical expressions for the performance of the BLCMV beamformer in terms of noise reduction, interference reduction, and cue preservation are derived. Comprehensive simulation experiments, using measured acoustic transfer functions as well as real recordings on binaural hearing AIDS, demonstrate the capabilities of the BLCMV beamformer in various noise environments.

Original languageEnglish
Pages (from-to)543-558
Number of pages16
JournalIEEE/ACM Transactions on Audio Speech and Language Processing
Volume24
Issue number3
DOIs
StatePublished - Mar 2016

Bibliographical note

Publisher Copyright:
©2016 IEEE.

Keywords

  • Binaural cues
  • Hearing AIDS
  • LCMV beamformer
  • Noise reduction
  • Relative transfer function

Fingerprint

Dive into the research topics of 'The binaural LCMV beamformer and its performance analysis'. Together they form a unique fingerprint.

Cite this