Sungbok Lee

Sungbok Lee is a Research Assistant Professor in the Department of Electrical Engineering at the University of Southern California. He holds dual affiliations at the Speech Analysis and Interpretation Laboratory (SAIL) and the Phonetics and Phonology Group in the Department of Linguistics. His expertise spans Speech Production Modeling of Emotional Speech, Speech and Language Processing, and Human Behavior Analysis in Interactive Environments. Lee’s work integrates advanced signal processing techniques with clinical and developmental studies, particularly focusing on neurodevelopmental disorders and child language acquisition.

Education:

• B.S. in Chemistry (Seoul National University, 1978)
• M.S. in Physics (Seoul National University, 1985)
• Ph.D. in Biomedical Engineering (University of Alabama at Birmingham, 1991)

His research emphasizes articulatory kinematics, prosody analysis, and multimodal speech databases. Notable contributions include the USC-EMO-MRI corpus and IEMOCAP dataset. Lee’s recent work explores acoustic-prosodic features in child-psychologist interactions and the application of real-time MRI for speech production studies. His methodologies often combine machine learning with physiological measurements to decode emotional and developmental speech patterns.