Fenqi Wang

Mayo Clinic
fenqiw@gmail.com

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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.
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

  1. LINGUA
    Nasalization reduction and grammaticalization of genre in Swiss French: A corpus-based sociophonetic study (co-first author)
    Delin Deng, Fenqi Wang, and Ratree Wayland
    Lingua, 2025
  2. JASA
    Evaluating the consistency of lenition measures: Neural networks’ posterior probability, intensity velocity, and duration
    Kevin Tang, Ratree Wayland, Fenqi Wang, Sophia Vellozzi, and Rahul Sengupta
    The Journal of the Acoustical Society of America, 2024
  3. LAN
    The effect of pitch accent on the perception of English lexical stress: Evidence from English and Mandarin Chinese listeners
    Fenqi Wang, Delin Deng, Kevin Tang, and Ratree Wayland
    Languages, 2024