Research

Are you aware that Alzheimer's disease (AD) patients exhibit distinct speech characteristics when compared to normal older adults? There have been ongoing efforts to utilize these unique speech features in speech-based AD detection. Numerous prior studies are dedicated to enhancing diagnostic algorithms for more precise diagnoses. However, is there any other way to improve detection models? For instance, what if we use speech tasks that accentuate the speech patterns of AD patients? Read more

How does AD impact speech production? What are the neural changes that influence speech production? Which cognitive impairments affect speech production? Through these questions, what can we uncover about the neural and cognitive mechanisms of speech production? Read more

In my previous research, I primarily focused on the acoustic features of speech. While changes in these acoustic features can be indicative of disruptions in both higher-level and lower-level processes, they offer limited access to higher-level processes. As a result, I have expanded the scope of my research in two significant ways. Read more

Speech serves as a novel biomarker that facilitates early diagnosis and intervention. It offers cost-effective, time-efficient, and user-friendly self-assessment capabilities, allowing individuals to conveniently administer tests from the comfort of their homes. I am in the process of developing a mobile app for speech-based AD detection. This app is currently undergoing patent application.