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 - 10.05Welcome/introductionLars Bramsløw (Eriksholm Research Centre) and Bernd Meyer (Univ. Oldenburg)
10.05 - 10.25AI applied in hearing aid signal processingMarkus Hofbauer (Sonova)
10.25 - 10.45Artifact-free Sound Quality in DNN-based Closed-loop Systems for Audio ProcessingChuan Wen (Ghent University)
10.45 - 11.05Text-Guided Soundscape Remixing for Enhanced Auditory Experience Nima Mesgarani (Columbia University)
11.05 - 11.25Real-time Multichannel Deep Speech Enhancement in Hearing AidsNils Westhausen (Bose)
11.25 - 11.50Coffee Break
11.50 - 12.10Neural networks for feedback controlMeng Guo (Demant)
12.10 - 12.30Hearing loss compensation using auditory models and deep neural networksLars Bramsløw and Peter Leer (Eriksholm Research Centre)
12.30 - 13.00DiscussionAll
Internetkoordinator (Changed: 11 Feb 2026)  Kurz-URL:Shortlink: https://uol.de/p111324en
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