Paper Info
Title
Hearing Aid-controlled Beamformer for Binaural Speech Enhancement Using a Model-based Approach
Abstract
The understanding of speech from a particular speaker in the presence of other interfering speakers can be severely degraded for a hearing impaired person. Beamforming techniques have been proven to be effective to improve the speech understanding in such scenarios. However, the number of microphones in a hearing aid (HA) is limited due to the space and power constraints present in the HA. In this paper, we propose to use an external device e.g., a microphone array, that can communicate with the HA to overcome this limitation. We propose a method to control this external device based on the look direction of the HA user. We show, by means of simulations, the robustness of the proposed method at very low SNRs in a reverberant scenario. Moreover, we have also conducted experiments that show the benefit of using this framework for binaural and monaural enhancement.
Year
DOI
Venue
2019
10.1109/ICASSP.2019.8683662
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Keywords
Field
DocType
Speech enhancement,autoregressive models,beamforming.
Speech enhancement,Autoregressive model,Beamforming,Pattern recognition,Hearing aid,Computer science,Microphone array,Robustness (computer science),Speech recognition,Artificial intelligence,Binaural recording,Monaural
Conference
ISSN
ISBN
Citations 
1520-6149
978-1-4799-8131-1
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Mathew Shaji Kavalekalam143.44
Jesper Kjær Nielsen25713.07
Mads Grísbøll Christensen376176.48
Jesper Bünsow Boldt494.09