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 (Stand: 06.06.2025)  Kurz-URL:Shortlink: https://uol.de/p111324
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