If you solo a track from a live recording, you rarely hear just one instrument. This paper, presented at ICASSP 2026, explains how we can use machine learning to remove musical "bleed" from one performer's microphone to another.
I would like to extend a warm welcome to Yuezhong Xu, a UIC Ph.D. student in Electrical and Computer Engineering who has joined the Listening Technology Lab. He completed the M.S. degree in…
Our collaborator, Hegel Pedroza, is working to improve the performance of machine learning for electric guitars. His new dataset, Guitar-TECHS, is available now!
We are delighted to welcome Rajesh R to the Listening Technology Lab! He joins UIC as a Ph.D. student in Electrical and Computer Engineering. Rajesh completed the B.E. degree in Electronics and Communication…
Hearing technology has to meet strict delay requirements, but wireless protocols like Bluetooth have large delays. We can use delay-robust signal processing strategies to use the data from these wireless devices even if it's delayed.
I am delighted to welcome Rashen Fernando to the Listening Technology Lab! He is joining the team as our very first Ph.D. student at UIC. Rashen comes from the University of Peradeniya in…
Welcome to the new website for the Listening Technology Lab! Established in 2023, the lab focuses on technologies to enhance and augment human hearing. The research group is part of both the Department…
On April 18, 2023, Dr. Corey was the featured speaker at the Audio Engineering Society Chicago chapter. The meeting was held at Shure headquarters in Niles, Illinois.
It’s often hard to follow group conversations in noisy environments like restaurants. In this paper, we make it easier for a group to hear each other by connecting everyone's smartphones and hearing devices together.
It is often difficult to hear over loud music in a bar or restaurant. What if we could remove the annoying music while hearing everything else? With the magic of adaptive signal processing, we can!
