| 9:00 | - Coffee / Pastries |
| 9:30 | - Welcome |
| 9:40 | - Keynote - Bernd T Meyer |
| 10:30 | - The Clarity Prediction Challenge Overview |
| 10:50 | - Coffee/Tea/Pastries |
| 11:10 | - Prediction Challenge Poster session |
| 12:20 | - Top systems and prizes |
| 13:00 | - Lunch |
| 14:00 | - ISAAR/Clarity Discussion |
| Future challenges |
| Sustainability of future challenge activities |
| 15:00 | - Coffee/Tea (Posters Cont) |
| 15:20 | - Oral Session / Hearing Aid Speech Enhancement + Other Topics |
| 17:00 | - “From spoken speech to sung speech” - Cadenza Lyric Challenge |
| 17:20 | - Close |
Full programme details to appear.
Invited Talk
Machine learning for computational audiology: Prediction of auditory perception and improvement of speech signals based on deep learning
Abstract
To appear.
Bio
Bernd T. Meyer received the Ph.D. degree from the University of Oldenburg, Germany, in 2009, where he was a member of the Medical Physics Group. He was a Visiting Researcher in the speech group with the International Computer Science Institute, Berkeley, CA, USA, and worked in the Center for Language and Speech Processing at the Johns Hopkins University, Baltimore, MD, USA. Since 2019, he is professor for Communication Acoustics at the University Oldenburg. His research interests include the relation of speech and hearing, with a special interest in models of human speech perception, automatic speech processing and its applications in hearing technology.
