On the Clarity project, the team from Sheffield, Salford, Cardiff and Nottingham universities is organising a series of machine learning challenges to advance hearing aid speech signal processing. The team is talking about the first challenge in this webinar and Q&A on Wednesday 3rd March 2021 2-3.30pm (UK time).
Although age-related hearing loss affects 40% of 55 to 74 year-olds, the majority of adults who would benefit from hearing aids don’t use them. A key reason is simply that hearing aids don’t provide enough benefit. In particular, speech in noise is still a critical problem, even for the most sophisticated devices. The purpose of the “Clarity” challenges is to catalyse new work to radically improve the speech intelligibility provided by hearing aids.
The series of challenges will consider increasingly complex listening scenarios. The first round, which launched recently, focusses on speech in indoor environments in the presence of a single interferer. It begins with a challenge involving improving hearing aid processing. Future challenges on how to model speech-in-noise perception will be launched at a later date.
Even if you’ve not worked on hearing aids before, the Clarity team provides you with the tools to enable you to apply your machine learning and speech processing algorithms to help those with a hearing loss.