Tan, Chin-Tuan
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Chin-Tuan Tan joined the UT Dallas faculty as an Associate Professor in 2016. He akso serves as director of the Auditory Perception Engineering Lab. His research interests include:
- Speech and music signal processing
- Audio Engineering
- Assistive Hearing Devices (implantable/non-implantable)
- Psychoacoustics & Physiological Acoustics
- Auditory Neuroscience Analysis & Modeling
- Medical Instrumentation & Systems
- Functional Imaging
ORCID page
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Recent Submissions
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Analyzing Auditory Evoked Cortical Response to Noise-Suppressed Speech in Cochlear Implant Users Using Mismatch Negativity
(IEEE Computer Society, 2019-03)Speech perception in background noise remains a challenge in cochlear implant (CI) users, and noise-suppression processing (e.g., Wiener filtering) has been commonly utilized to improve speech perception for CI users. It ... -
Neural Entrainment to Speech Envelope in Response to Perceived Sound Quality
(IEEE Computer Society, 2019-03)The extent, to which people listen to and perceive the speech content at different noise levels varies from individual to individual. In past research projects, the speech intelligibility was determined by rating assessment, ... -
A Speech Processing Strategy Based on Sinusoidal Speech Model for Cochlear Implant Users
In sinusoidal modeling (SM), speech signal, which is pseudo-periodic in structure, can be approximated by sinusoids and noise without losing significant speech information. A speech processing strategy based on this ... -
Wavelet Scattering Transform for Variability Reduction in Cortical Potentials Evoked by Pitch Matched Electro-Acoustic Stimulation in Unilateral Cochlear Implant Patients
Cochlear implant (CI) restores the hearing sensation in profoundly deafen patients by directly stimulating auditory nerve with electric pulses using an array of tonotopically inserted electrodes. Basal electrodes stimulate ... -
Implication of Speech Level Control in Noise to Sound Quality Judgement
Relative levels of speech and noise, which is signal-to-noise ratio (SNR), alone as a metric may not fully account how human perceives speech in noise or making judgement on the sound quality of the speech component. To ...
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