Last chance to register. Apologies for cross-posting.
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1st ISCA Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2021)
Online Event, 16th/17th September, 2021
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For full programme details and registration please visit the workshop website
The event is free to attend but prior registration is required.
IMPORTANT DATES
13th September - Registration closes
16th September - Workshop tutorial session
17th September - Workshop / Clarity Challenge results announced
One of the biggest challenges for hearing-impaired listeners is understanding speech in the presence of background noise. Everyday social noise levels can have a devastating impact on speech intelligibility. Inability to communicate effectively can lead to social withdrawal and isolation. Disabling hearing impairment affects 360 million people worldwide, with that number increasing because of the ageing population. Unfortunately, current hearing aid technology is often ineffective in noisy situations. Although amplification can restore audibility, it does not compensate fully for the effects of hearing loss.
The aim of this two-day virtual event is to report on the Clarity Enhancement Challenge, the first-ever machine learning challenge targeted at helping those with a hearing impairment. The challenge was launched at the start of 2021, and is seeking to find new approaches to signal processing in hearing aids. (For details of the challenge please visit the
Clarity Challenge website.)
Invited Talks
- Christine Evers, University of Southampton
- Barry M. Gibbs, University of Liverpool
- James Kates, University of Colorado
- Karolina Smeds, ORCA Europe
Organisers
The Clarity Project Team
Prof Michael Akeroyd, University of Nottingham
Prof Jon Barker, University of Sheffield
Prof Trevor Cox, University of Salford
Prof John Culling, University of Cardiff
Dr Simone Graetzer, University of Salford
Prof Graham Naylor, University of Nottingham
Eszter Porter, University of Nottingham
Dr Rhoddy Viveros Muñoz, University of Cardiff
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Professor Jon Barker,
Department of Computer Science,
University of Sheffield
+44 (0) 114 222 1824