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The Binaural LCMV Beamformer and its Performance Analysis by Elior Hadad; Simon Doclo; Sharon Gannot is a Computer Science article available to read on EtoBox.
What is The Binaural LCMV Beamformer and its Performance Analysis about?
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 red
Who reads The Binaural LCMV Beamformer and its Performance Analysis?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Elior Hadad; Simon Doclo; Sharon Gannot
- Published
- 2016
- Language
- EN
- Field
- Computer Science (Physical Sciences)