معرفی
Chin-Tuan Tan is an Associate Professor in the Department of Electrical Engineering at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. His research focuses on auditory neuroscience, cochlear implants, and speech processing, with a particular emphasis on understanding neural mechanisms underlying speech perception in hearing-impaired listeners. His work integrates electrophysiological measurements (e.g., auditory evoked potentials, ERP, fMRI) with advanced signal processing techniques to improve cochlear implant outcomes and evaluate speech quality metrics.
Key research areas include neural entrainment to speech signals, cross-frequency coupling in auditory processing, and the development of objective neurophysiological metrics for sound quality assessment in cochlear implant users. He has extensively studied the effects of noise suppression algorithms, spectral distortion, and acoustic models on speech perception, with applications in real-time adaptive hearing solutions. His contributions address critical challenges in cochlear implant design, including frequency table optimization, noise robustness, and binaural hearing restoration.
Recent studies explore the electrophysiological correlates of pitch perception in electric-acoustic stimulation environments and the impact of sound level control on spatial auditory attention. His interdisciplinary approach bridges electrical engineering, neuroscience, and audiology, aiming to enhance speech understanding and quality of life for hearing-impaired populations.
