3 papers
eess.AS2025
Multi-Speaker DOA Estimation in Binaural Hearing Aids using Deep Learning and Speaker Count Fusion
Farnaz Jazaeri, Homayoun Kamkar-Parsi, François Grondin +1
For extracting a target speaker voice, direction-of-arrival (DOA) estimation is crucial for binaural hearing aids operating in noisy, multi-speaker environments. Among the solution…
eess.AS2025
Improved in-car sound pick-up using multichannel Wiener filter
Juhi Khalid, Martin Bouchard
With advancements in automotive electronics and sensors, the sound pick-up using multiple microphones has become feasible for hands-free telephony and voice command in-car applicat…
eess.AS2018
A Robust Target Linearly Constrained Minimum Variance Beamformer With Spatial Cues Preservation for Binaural Hearing Aids
Hala As'ad, Martin Bouchard, Homayoun Kamkar-Parsi
In this paper, a binaural beamforming algorithm for hearing aid applications is introduced.The beamforming algorithm is designed to be robust to some error in the estimate of the t…