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3nd International Workshop on Machine Learning Challenges for Hearing Aids (Clarity-CEC2-2022)
Online Event, 12th December 2022
https://claritychallenge.org/clarity2022-CEC2-workshop/ ==========================================================
For programme details and free registration please visit the workshop website
https://claritychallenge.github.io/clarity2022-CEC2-workshop/IMPORTANT DATES
* 10th December - Registration Closes
* 12th December - Workshop / 2nd Clarity Enhancement Challenge results announced
The aim of this one-day virtual event is to report on the 2nd Clarity Enhancement 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 simulated hearing aid inputs for a scenario involving a target speaker in the presence of multiple competing source sources in a domestic environment. Entrants were tasked with enhancing the target speaker for listeners with specific hearing impairments. Submissions were evaluated using both HASPI and a panel of hearing-impaired listeners. The challenge was launched in March 2022 and ran until September 2022 leading to the evaluation of 18 systems from 7 separate teams.
This virtual workshop will feature
* announcement of the challenge results
* presentations from participating teams
* invited talks,
* a discussion of future directions for hearing aid machine learning challenges.
**Organisers**
The Clarity Project Team
Michael Akeroyd, University of Nottingham
Will Bailey, University of Sheffield
Jon Barker, University of Sheffield
Trevor Cox, University of Salford
John Culling, University of Cardiff
Simone Graetzer, University of Salford
Graham Naylor, University of Nottingham
Zuza Podwinska, University of Salford
Zehai Tu, University of Sheffield
Alice Tucker, University of Sheffield
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Professor Jon Barker,
Department of Computer Science,
University of Sheffield
+44 (0) 114 222 1824