Fenqi Wang

Department of Linguistics, SFU
fenqiw@gmail.com.

fenqi_selfi.jpg

I’m a term lecturer and postdoctoral fellow in the Department of Linguistics at Simon Fraser University, supervised by Henny Yeung and Yue Wang. I completed my PhD in Linguistics at the University of Florida, where I was advised by Ratree Wayland.

My research interests encompass a broad spectrum of topics within the field of linguistics, including speech production, speech perception, sound variation, speech emotion recognition, and bilingualism. By employing a diverse array of research methodologies including behavioral studies, neuroimaging, and computational techniques, my work seeks to deepen our understanding of these complex topics.

Presently, I am focused on investigating the expression and perception of vocal emotions in different languages, striving to elucidate the complexities of emotional communication in speech. In addition, my work on sound variation in accented Mandarin explores phonetic variation through the application of advanced deep/machine learning models.

Trained in linguistics, my research integrates linguistic theory with experimental and computational methods to examine the interplay between speech and cognitive processes. My work has been published in various journals and conferences.

news

Apr 12, 2024 Our project on human-AI interactions was awarded the FASS Breaking Barriers Grant ($70,000).
Feb 28, 2024 A paper has been published in the journal Languages.
Jan 12, 2024 Our project on fake news was awarded the FASS Kickstarter Grant ($14,167).

selected publications

  1. 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
  2. JFLS
    The pitch contour of the French discourse marker donc: A corpus-based study using generalized additive mixed-effects modeling (co-first author)
    Delin Deng, Fenqi Wang, and Ratree Wayland
    Journal of French Language Studies, 2023
  3. LAN
    Quantitative acoustic versus deep learning metrics of lenition (co-first author)
    Ratree Wayland, Kevin Tang, Fenqi Wang, Sophia Vellozzi, and Rahul Sengupta
    Languages, 2023