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.

Now Live! 2nd Enhancement challenge (CEC2)

This challenge is about enhancing the processing of hearing aid signals to improve the intelligibility of speech in noise. The scenario was a living room, one target talker and one interfering noise source. Visit the challenge website for more details.