Driving innovation in hearing care through clinical evidence and acoustics.
EEG Signal Analysis & Speech Recognition
My Master's Thesis exploring the classification accuracy of automatic speech recognition based on brainwave (EEG) signals. Analyzed the effects of the Signal-to-Noise Ratio (SNR) during covert speech, overt speech, and speech perception.
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3-Step Hand Rub Hearing Screening (3SHRHS)
Spearheaded the development and clinical validation of a novel, cost-effective hearing screening method. This protocol aims to efficiently detect and categorize hearing loss severity, particularly in older adult populations. The study has been officially accepted by JAAA (2025).
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Evaluation of Wireless Assistive Listening Devices
Engaged in a strategic research initiative with Airoha Technology Inc. to assess the efficacy of ALDs featuring advanced Bluetooth chips. Evaluated the real-world effectiveness of DSP algorithms including noise reduction, WDRC, and feedback cancellation.
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Acoustical Analysis of Hair Dryers & Hearing Risks
Investigated the physical and psychoacoustic parameters of commercial hair dryers in an anechoic chamber to assess hidden risks for Noise-Induced Hearing Loss. Successfully translated complex acoustic findings into the "Mindful Drying" nationwide public health advocacy campaign.
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