معرفی
Sunghye Cho is a Research Professor affiliated with the Linguistics Department and the Linguistic Data Consortium (LDC) at the University of Pennsylvania. She holds a Ph.D. in Linguistics from the University of Pennsylvania (2017) and completed postdoctoral training at the LDC. Her research focuses on phonetics, corpus/computational linguistics, clinical speech analysis, language change, and prosody. She has conducted extensive studies on speech markers of neurological conditions such as Alzheimer's, autism, and motor speech disorders.
Recent work emphasizes automated analysis of speech in clinical populations, including studies on turn-taking dynamics in autistic children and syntactic complexity in primary progressive aphasia. Her interdisciplinary approach integrates machine learning and large language models for diagnostics, with applications in neurology, psychiatry, and clinical linguistics. Collaborations span cross-linguistic analyses (e.g., Korean corpora) and longitudinal telephony-based studies. She contributes to linguistic resource development through the LDC, advancing standardized datasets for computational linguistics research.
Publications highlight innovations in acoustic feature extraction, speech biomarkers for dementia, and computational tools for analyzing narrative recall tasks. Her work bridges theoretical linguistics with applied clinical contexts, addressing challenges in neurodegenerative and neurodevelopmental disorders through quantitative speech analysis.
