On the Impact of Quantization on Binaural MVDR Beamforming

Conference paper (2016)

Authors

J. Amini Signal Processing Systems - EEMCS
R.C. Hendriks Signal Processing Systems - EEMCS
R. Heusdens Signal Processing Systems - EEMCS
Meng Guo Oticon A/S
Jesper Jensen Aalborg University
Research Group
Signal Processing Systems (EEMCS) (TU Delft)
Copyright: © 2016 J. Amini, R.C. Hendriks, R. Heusdens, M. Guo, Jesper Rindom Jensen
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Published Date

2016

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Signal Processing Systems

Abstract

Multi-microphone noise reduction algorithms in binaural hearing aids which cooperate through a wireless link have the potential to become of great importance in future hearing aid systems. However, limited transmission capacity of such devices necessitates the data compression of signals transmitted from one hearing aid to the contralateral one. In this paper we study the impact of quantization as a data compression scheme on the performance of the multi-microphone noise reduction algorithms. Using the binaural minimum variance distortionless response (BMVDR) beamformer as an illustration, we propose a quantization aware beamforming scheme which uses a modified cross power spectral density (CPSD) of the system noise including the quantization noise (QN). Moreover, several assumptions on the QN are investigated in the proposed method. Based on the output SNR, we compare different variations of the proposed method with the conventional BMVDR beamformer. The results confirm the improved performance of the proposed method.

Files

Amini2016a.pdf
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