f) Agenda "Machine learning for hearing aid algorithms (DSP)"

f) Agenda "Machine learning for hearing aid algorithms (DSP)"

Friday 10.00 till 13.00 o´clock





10.00 – 10.25

Low-complexity models for speaker separation in hearing aids

Bernd Meyer
(University of Oldenburg)

10.25 – 10.50

ML-based algorithms for speech enhancement and source localization for hearing devices

Simon Doclo
(University of Oldenburg)

10.50 – 11.15

Challenges of applying DNNs to hearing devices for noise reduction

Ziyue Zhao

11.15 – 11.30

coffee break


11.30 – 11.55

Fusion of conventional signal processing algorithms and neural networks

Homayoun Kamkar Parsi
(WS Audiology)

11.55 – 12.20

2nd enhancement challenge, Clarity project

Jon Barker 
(University of Sheffield)

12.20 – 12.45

Bayesian AI for In-situ HA algorithm design

Bart van Erp 
(TU Eindhoven) 

12.35 – 13.00




Internetkoordinator (Stand: 19.01.2024)  | 
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