Relaxed Binaural LCMV Beamforming

Andreas I. Koutrouvelis, Richard Christian Hendriks, Richard Heusdens, Jesper Jensen

Research output: Contribution to journalArticleScientificpeer-review

47 Citations (Scopus)
51 Downloads (Pure)


In this paper, we propose a new binaural beamforming technique, which can be seen as a relaxation of the linearly constrained minimum variance (LCMV) framework. The proposed method can achieve simultaneous noise reduction and exact binaural cue preservation of the target source, similar to the binaural minimum variance distortionless response (BMVDR) method. However, unlike BMVDR, the proposed method is also able to preserve the binaural cues of multiple interferers to a certain predefined accuracy. Specifically, it is able to control the trade-off between noise reduction and binaural cue preservation of the interferers by using a separate trade-off parameter per-interferer. Moreover, we provide a robust way of selecting these trade-off parameters in such a way that the preservation accuracy for the binaural cues of the interferers is always better than the corresponding ones of the BMVDR. The relaxation of the constraints in the proposed method achieves approximate binaural cue preservation of more interferers than other previously presented LCMV-based binaural beamforming methods that use strict equality constraints.
Original languageEnglish
Pages (from-to)137-152
Number of pages16
JournalIEEE - ACM Transactions on Audio, Speech, and Language Processing
Issue number1
Publication statusPublished - 2017

Bibliographical note

Accepted Author Manuscript


  • Beamforming
  • binaural cue preservation
  • hearing aids
  • LCMV
  • multi-microphone noise reduction
  • MVDR


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