Spatially Correct Rate-Constrained Noise Reduction For Binaural Hearing Aids in Wireless Acoustic Sensor Networks

Spatially Correct Rate-Constrained Noise Reduction For Binaural Hearing Aids in Wireless Acoustic Sensor Networks

Amini, J. (TU Delft Signal Processing Systems)
Hendriks, R.C. (TU Delft Signal Processing Systems)
Heusdens, R. (TU Delft Signal Processing Systems)
Guo, Meng (Oticon A/S, Denmark)
Jensen, Jesper (Aalborg University)

2020

Compared to monaural hearing aids (HAs), binaural hearing aid systems, in which there is a communication link between the two devices, have improved noise reduction capabilities and the ability to preserve binaural spatial information. However, the limited HA battery lifetime puts constraints on the amount of information that can be shared between the two devices. In other words, the rate of transmission between the devices is an important constraint that needs to be considered, while preserving the spatial information. In this article, a linearly constrained noise reduction problem is proposed, which jointly finds the optimal rate allocation and the optimal estimation (beamforming) weights across all sensors and frequencies, while preserving the binaural spatial cues of point sources. The proposed method considers a rate constraint together with linear constraints to preserve the binaural spatial cues of point sources. Minimizing the mean square error on the estimated target speech at the left and the right side beamformers, the optimal weights are found to be rate-constrained linearly constrained minimum variance (LCMV) filters, and the optimal rates are found to be the solutions to a set of reverse water filling problems. The performance of the proposed method is evaluated using the averaged binaural signal-to-noise ratio (SNR), the interaural level difference (ILD) error and the interaural time difference (ITD) error. The results show that the proposed method outperforms spatially correct noise reduction approaches that use naive/random rate allocation strategies.

Wireless acoustic sensor networks
multi-microphone noise reduction
rate-distortion trade-off

http://resolver.tudelft.nl/uuid:24918cb8-a235-47b0-9c0c-3c6d303f7c85

https://doi.org/10.1109/TASLP.2020.3028264

IEEE Trans. Audio, Speech and Language processing, 28, 2731-2742

Institutional Repository

journal article

© 2020 J. Amini, R.C. Hendriks, R. Heusdens, Meng Guo, Jesper Jensen