Zheng, S., Tan, F., & Do, Y. Accepted Modeling the impact of prenatal audio attenuation on speech sound learning. Journal of Experimental Psychology: Learning. Memory, and Cognition.
McLaren, B., Do, Y., Thompson, A., & Husman, J. Accepted An expanded model for perceptual norming: Insights from Japanese ideophones. Topics in Cognitive Science.
Xue, Y., Yu, X., & Do, Y. Registered Report Accepted Exploring substantive bias through incidental phonological learning: accuracy and conscious status of the resultant knowledge. Language and Speech.
Tan, F., Zheng, S., Liu, M., & Do, Y. (2026). Modeling prosodic development with prenatal audio attenuation. Proceedings of the Annual Meetings on Phonology, 2 (1). open_in_newDOI
Tan, F., & Do, Y. (2026). Bottom-up modeling of phoneme learning: Universal sensitivity and language-specific transformation. Speech Communication, 176, Article 103343. open_in_newDOI
Zheng, S., & Do, Y. (2025). Substantive bias in artificial phonology learning. Language and Linguistics Compass, 19(1), e70005. open_in_newDOI
downloadPDF
Yu, X., & Do, Y. (2024). Perceptual and featural measures of Mandarin consonant similarity: Confusion matrices and phonological features dataset. Data in Brief, 52, 109868. open_in_newDOI
