2nd International Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2022)
Important Dates
22nd June - Registration Closes
29th June - Workshop / Clarity Prediction Challenge results announced
The aim of this one-day virtual event is to report on the
Clarity Prediction Challenge, one of a series of machine learning challenges being organised by the
UKRI-funded Clarity Project targeted at helping those with a hearing impairment. The challenge was based on a novel dataset of hearing-impaired listeners' responses to speech-in-noise processed by hearing-aid algorithms. The challenge was launched in November 2021 and ran until March 2022 and attracted the submission of 16 different systems from 9 separate teams.
This virtual workshop will feature
- announcement of the challenge results
- presentations from participating teams
- a keynote talk,
- a discussion of future directions for hearing aid machine learning challenges.
- Theo Goverts, Vrije Universiteit Amsterdam
Organisers
The Clarity Project Team
Michael Akeroyd, University of Nottingham
Will Bailley, University of Sheffield
Jon Barker, University of Sheffield
Trevor Cox, University of Salford
John Culling, University of Cardiff
Lara Harris, University of Salford
Graham Naylor, University of Nottingham
Zuza Podwinska, University of Salford
Zehai Tu, University of Sheffield
--
Professor Jon Barker,
Department of Computer Science,
University of Sheffield
+44 (0) 114 222 1824