Fenqi Wang
Mayo Clinic
fenqiw@gmail.com.
I am a Research Fellow in Neurology Artificial Intelligence at Mayo Clinic, where I collaborate with Dr. Hugo Botha to apply deep learning models for monitoring neurodegenerative diseases, particularly frontotemporal dementia, through remote voice recordings.
Before joining Mayo Clinic, I was a Postdoctoral Fellow in the Department of Linguistics at Simon Fraser University. I hold a PhD in Linguistics from the University of Florida, where I was mentored by Dr. Ratree Wayland.
My research spans speech production and perception, computational modeling, and using speech as biomarkers. Alongside my work in neurodegenerative diseases, I explore the expression and perception of vocal emotions across different languages, aiming to enhance our understanding of emotional communication. I also investigate phonetic variation in accented Mandarin through advanced deep/machine learning models.
With expertise in both speech sciences and computational methods, my research focuses on uncovering patterns and variations in speech to address real-world challenges, including emotional speech processing and health-related applications. My work has been published in various journals and conferences.
news
Aug 27, 2024 | A co-authored paper on lenition has been published in the journal JASA. |
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Feb 28, 2024 | A paper has been published in the journal Languages. |
Jun 2, 2023 | A new co-authored paper has been published in the Journal of French Language Studies. |
selected publications
- JASAEvaluating the consistency of lenition measures: Neural networks’ posterior probability, intensity velocity, and durationThe Journal of the Acoustical Society of America, 2024
- LANThe effect of pitch accent on the perception of English lexical stress: Evidence from English and Mandarin Chinese listenersLanguages, 2024
- JFLSThe pitch contour of the French discourse marker donc: A corpus-based study using generalized additive mixed-effects modeling (co-first author)Journal of French Language Studies, 2023