Key research themes
1. How can adaptive filtering techniques mitigate acoustic feedback noise in hearing aids and active noise control systems?
This research area focuses on developing and optimizing adaptive filtering methods, such as Recursive Least Squares (RLS), Least Mean Squares (LMS), and Kalman filters, to accurately model and cancel acoustic feedback in hearing aids and active noise control (ANC) systems. Addressing acoustic feedback is crucial because it degrades audio quality, limits amplification, and can lead to system instability. Understanding how to effectively identify and neutralize time-varying feedback paths under real-world conditions—often with unpredictable noise sources—is vital for improving hearing aid performance and ANC robustness.
2. What roles does vibrotactile and haptic feedback play in augmenting human auditory perception and interaction with digital musical instruments?
This body of research investigates how tactile and haptic information can enhance auditory perception and musical performance, particularly in digital musical instruments (DMIs) and sensory substitution devices (SSDs). By delivering vibrotactile feedback related to sound or musical gestures, these studies explore multisensory integration, motor control, and perceptual enhancement. This is critical for improving expressivity, learning, and accessibility in music performance, as well as enhancing the perceptual experience for users with auditory impairments.