f) Build the HA as a Neural Net Applying ML for gain models, feedback suppression, and other functions of the Hearing Device.
f) Build the HA as a Neural Net Applying ML for gain models, feedback suppression, and other functions of the Hearing Device.
Friday 10.00 till 13.00 o´clock
Agenda
Time | Topic | Speaker |
10.00 – 10.05 | Welcome/introduction | Lars Bramsløw (Eriksholm Research Centre) and Bernd Meyer (Univ. Oldenburg) |
10.05 – 10.25 | AI applied in hearing aid signal processing | Markus Hofbauer (Sonova) |
10.25 – 10.45 | Artifact-free Sound Quality in DNN-based Closed-loop Systems for Audio Processing | Chuan Wen (Ghent University) |
10.45 – 11.05 | Text-Guided Soundscape Remixing for Enhanced Auditory Experience | Nima Mesgarani (Columbia University) |
11.05 – 11.25 | Real-time Multichannel Deep Speech Enhancement in Hearing Aids | Nils Westhausen (Bose) |
11.25 – 11.50 | Coffee Break | |
11.50 – 12.10 | Neural networks for feedback control | Meng Guo (Demant) |
12.10 – 12.30 | Hearing loss compensation using auditory models and deep neural networks | Lars Bramsløw and Peter Leer (Eriksholm Research Centre) |
12.30 – 13.00 | Discussion | All |