Machine Learning Challenges to Revolutionise Hearing Devices

One in six people in the UK has a hearing impairment, and this number will increase as the population ages. Yet only 40% of people who could benefit from hearing aids have them, and most people who have the devices don’t use them often enough. A major reason for this low uptake and use is the perception that hearing aids perform poorly.

We are organising a series of machine learning challenges to enhance hearing-aid signal processing and to better predict how people perceive speech-in-noise.

Enhancement challenge

Enhancement Challenge 1 is about enhancing the processing of hearing aid signals to improve the intelligibility of speech in noise. The scenario is a living room, one target talker and one interfering noise source. The challenge is now closed, but you can still register for the Enhancement Challenge Workshop 16/17th September 2021.

Prediction Challenge

Prediction challenge 1 launches in autumn 2021, please see our pre-announcement. This is about predicting the word error rate when listeners auditioned speech-in-noise processed by hearing aids, and told us what words they heard.