A research team led by Mi Zhang, assistant professor of electrical and computer engineering, has won the 3rd place in the NSF Hearable Challenge to work on a solution for those using hearing aids. Congratulations to the team!
A challenge for people with hearing impairment is understanding conversation in noisy environments, like restaurants. An inability to hear clearly because of background noise makes following a conversation difficult. The NSF Hearable Challenge aims to develop algorithms or methods that could improve hearing in a noisy setting. tinyurl.com/y8dblyyo
Zhang and his team are invited to present their work, “SharpEar: Real-Time Speech Enhancement in Noisy Environments,” at UBICOMP 2017 in Maui, Hawaii, Sept. 11-15.