Robust distributed noise reduction in hearing aids with external acoustic sensor nodes

Authors:
Alexander Bertrand;Marc Moonen
Affiliations:
Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium;Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium
Venue:
EURASIP Journal on Advances in Signal Processing - Special issue on digital signal processing for hearing instruments
Year:
2009

Citing 7
Cited 4

Strategy-selective noise reduction for binaural digital hearing aids

Speech Communication - Special issue on speech processing for hearing aids
Graph Theory With Applications

Graph Theory With Applications
Dual-channel speech enhancement by superdirective beamforming

EURASIP Journal on Applied Signal Processing
Distributed adaptive estimation of correlated node-specific signals in a fully connected sensor network

ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
GSVD-based optimal filtering for single and multimicrophone speech enhancement

IEEE Transactions on Signal Processing
Binaural Noise Reduction Algorithms for Hearing Aids That Preserve Interaural Time Delay Cues

IEEE Transactions on Signal Processing
Reduced-Bandwidth and Distributed MWF-Based Noise Reduction Algorithms for Binaural Hearing Aids

IEEE Transactions on Audio, Speech, and Language Processing

Distributed adaptive node-specific signal estimation in fully connected sensor networks-part I: sequential node updating

IEEE Transactions on Signal Processing
Distributed adaptive node-specific signal estimation in fully connected sensor networks-part II: simultaneous and asynchronous node updating

IEEE Transactions on Signal Processing
Distributed signal estimation in sensor networks where nodes have different interests

Signal Processing
Generalized Spherical Array Beamforming for Binaural Speech Reproduction

IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)

Quantified Score

Hi-index	0.01

Visualization

Abstract

The benefit of using external acoustic sensor nodes for noise reduction in hearing aids is demonstrated in a simulated acoustic scenario with multiple sound sources. A distributed adaptive node-specific signal estimation (DANSE) algorithm, that has a reduced communication bandwidth and computational load, is evaluated. Batch-mode simulations compare the noise reduction performance of a centralized multi-channel Wiener filter (MWF) with DANSE. In the simulated scenario, DANSE is observed not to be able to achieve the same performance as its centralized MWF equivalent, although in theory both should generate the same set of filters. A modification to DANSE is proposed to increase its robustness, yielding smaller discrepancy between the performance of DANSE and the centralized MWF. Furthermore, the influence of several parameters such as the DFT size used for frequency domain processing and possible delays in the communication link between nodes is investigated.