Education & Training
- PhD, University of California, Davis
- MA, University of California, Davis
- BA, College of William and Mary
Representative Publications
Villarreal, Dan. 2024. Sociolinguistic auto-coding has fairness problems too: measuring and mitigating bias, Linguistics Vanguard. doi:10.1515/lingvan-2022-0114
Villarreal, Dan. 2023. SLAC-Fairness: Tools to assess fairness and mitigate unfairness in sociolinguistic auto-coding. Available at https://djvill.github.io/SLAC-Fairness/
Villarreal, Dan, Lynn Clark, Jennifer Hay, and Kevin Watson. 2020. From categories to gradience: Auto-coding sociophonetic variation with random forests. Laboratory Phonology 11.1-31.
Villarreal, Dan, Lynn Clark, Jennifer Hay, and Kevin Watson. 2019. How to train your classifier.
Holliday, Nicole, and Dan Villarreal. 2020. Intonational variation and incrementality in listener judgments of ethnicity. Laboratory Phonology 11.1-21.
Villarreal, Dan, and Mary Kohn. 2020. Local meanings for supra-local change: Perceptions of TRAP backing in Kansas. American Speech.
Villarreal, Dan. 2018. The construction of social meaning: A matched-guise investigation of the California Vowel Shift. Journal of English Linguistics 46.52-78.
Research Interest Summary
Research Interests
Dan Villarreal’s research takes a computational approach to investigate how speakers and listeners make use of the tremendous phonetic variability that characterizes everyday speech. This focus includes research on the social meanings listeners attach to phonetic variation, computational methods for automating coding of sociophonetic variables, and the phonetic implementation of rhoticity in different speech communities.