Fenqi Wang
Mayo Clinic
fenqiw@gmail.com

I am a Research Fellow in Neurology Artificial Intelligence at Mayo Clinic, where I collaborate with Drs. Hugo Botha and Rene Utianski to apply deep learning models to investigate the speech features of patients with motor speech disorders. I earned my PhD in Linguistics from the University of Florida, where I was mentored by Dr. Ratree Wayland.
My research spans motor speech disorders, speech biomarkers, and computational modeling. Alongside my work in motor speech disorders, I explore the expression and perception of vocal emotions across different languages and 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. My work has been published in various journals and conferences.
news
May 16, 2025 | A co-authored paper will be published in the journal Lingua. |
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Aug 27, 2024 | A co-authored paper on lenition has been published in the journal JASA. |
Feb 28, 2024 | A paper has been published in the journal Languages. |
selected publications
- LINGUANasalization reduction and grammaticalization of genre in Swiss French: A corpus-based sociophonetic study (co-first author)Lingua, 2025
- 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