Operational Rate-Constrained Beamforming in Binaural Hearing Aids. Amini, J., Hendriks, R. C., Heusdens, R., Guo, M., & Jensen, J. In *2018 26th European Signal Processing Conference (EUSIPCO)*, pages 2504-2508, Sep., 2018.

Paper doi abstract bibtex

Paper doi abstract bibtex

Modern binaural hearing aids (HAs) can collaborate wirelessly with each other as well as with other assistive (wireless) devices. This enables multi-microphone noise reduction over small wireless acoustic sensor networks (WASNs) to increase the intelligibility under adverse conditions. In this work, we assume one of the HAs to serve as the fusion center (FC). The optimal beamforming strategy for processing the received data at the FC depends on the acoustic scene and physical constraints (e.g., the bit-rate for transmission to the FC), and might be frequency dependent. Selection of the optimal beamforming strategy, while satisfying rate constraints on the communication between the different devices is an important challenge in such setups. In this paper, we propose an operational rate-constrained beamforming system for optimal rate allocation and strategy selection across frequency. We show an example of the proposed framework, where both the algorithm selection as well as the required rates to transmit the necessary microphone signals are optimized using uniform quantizers, while minimizing the mean-square error (MSE) distortion measure. In contrast to a well-known (theoretically optimal) reference method based on remote source coding for two devices, the presented algorithm is practically implementable and only requires knowledge of joint signal statistics at the FC. Evaluations (based on simulation experiments) show clear improvement over other practically implementable strateuies.

@InProceedings{8553403, author = {J. Amini and R. C. Hendriks and R. Heusdens and M. Guo and J. Jensen}, booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)}, title = {Operational Rate-Constrained Beamforming in Binaural Hearing Aids}, year = {2018}, pages = {2504-2508}, abstract = {Modern binaural hearing aids (HAs) can collaborate wirelessly with each other as well as with other assistive (wireless) devices. This enables multi-microphone noise reduction over small wireless acoustic sensor networks (WASNs) to increase the intelligibility under adverse conditions. In this work, we assume one of the HAs to serve as the fusion center (FC). The optimal beamforming strategy for processing the received data at the FC depends on the acoustic scene and physical constraints (e.g., the bit-rate for transmission to the FC), and might be frequency dependent. Selection of the optimal beamforming strategy, while satisfying rate constraints on the communication between the different devices is an important challenge in such setups. In this paper, we propose an operational rate-constrained beamforming system for optimal rate allocation and strategy selection across frequency. We show an example of the proposed framework, where both the algorithm selection as well as the required rates to transmit the necessary microphone signals are optimized using uniform quantizers, while minimizing the mean-square error (MSE) distortion measure. In contrast to a well-known (theoretically optimal) reference method based on remote source coding for two devices, the presented algorithm is practically implementable and only requires knowledge of joint signal statistics at the FC. Evaluations (based on simulation experiments) show clear improvement over other practically implementable strateuies.}, keywords = {acoustic communication (telecommunication);array signal processing;handicapped aids;hearing aids;mean square error methods;medical signal processing;microphones;quantisation (signal);sensor fusion;source coding;statistical analysis;wireless sensor networks;microphone signals;binaural hearing aids;binaural HA;assistive wireless devices;WASN;FC;operational rate-constrained beamforming system;mean-square error distortion minimization;MSE distortion minimization;remote source coding;joint signal statistics;fusion center;wireless acoustic sensor networks;multimicrophone noise reduction;optimal rate allocation;optimal beamforming strategy;Microphones;Array signal processing;Radio spectrum management;Wireless communication;Signal processing algorithms;Wireless sensor networks;Noise reduction;Binaural hearing aids;multi-microphone noise reduction;operational rate-distortion tradeoff}, doi = {10.23919/EUSIPCO.2018.8553403}, issn = {2076-1465}, month = {Sep.}, url = {https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570437704.pdf}, }

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