9 citations · 12 across the 4 of their papers we have counts for
4 papers
Synthetic Data Generation for Phrase Break Prediction with Large Language Model
Hoyeon Lee, Sejung Son, Ye-Eun Kang +1
Current approaches to phrase break prediction address crucial prosodic aspects of text-to-speech systems but heavily rely on vast human annotations from audio or text, incurring si…
A Dual-Prompting for Interpretable Mental Health Language Models
Hyolim Jeon, Dongje Yoo, Daeun Lee +3
Despite the increasing demand for AI-based mental health monitoring tools, their practical utility for clinicians is limited by the lack of interpretability.The CLPsych 2024 Shared…
Learning Co-Speech Gesture for Multimodal Aphasia Type Detection
Daeun Lee, Sejung Son, Hyolim Jeon +2
Aphasia, a language disorder resulting from brain damage, requires accurate identification of specific aphasia types, such as Broca's and Wernicke's aphasia, for effective treatmen…
Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning
Daeun Lee, Sejung Son, Hyolim Jeon +2
Bipolar disorder (BD) is closely associated with an increased risk of suicide. However, while the prior work has revealed valuable insight into understanding the behavior of BD pat…