PROJECTS
Chen, C., Tseng, X., Gau, S.S., Lee, C. (2017) Computing Multimodal Dyadic Behaviors During Spontaneous Diagnosis Interviews Toward Automatic Categorization of Autism Spectrum Disorder. Proc. Interspeech 2017, 2361-2365, DOI: 10.21437/Interspeech.2017-563.
Chen, Chin-Po, Susan Shur-Fen Gau, and Chi-Chun Lee. "Toward differential diagnosis of autism spectrum disorder using multimodal behavior descriptors and executive functions." Computer Speech & Language 56 (2019): 17-35.
Chen, Chin-Po, Susan Shur-Fen Gau, and Chi-Chun Lee. "Learning Converse-level Multimodal Embedding to Assess Social Deficit Severity for Autism Spectrum Disorder." ICME (2020)
Latest Projects
Computing Multimodal Dyadic Behaviors During Spontaneous Diagnosis Interviews Toward Automatic Categorization of Autism Spectrum Disorder
A framework that extracts acoustic LLD's, moving trajectories, and some calculations from labeled timestamps, pass them to logistic regression, and predict through three classes of ASD subtypes.
Toward differential diagnosis of autism spectrum disorder using multimodal behavior descriptors and executive functions
An extension of previous work, with the inclusion of measurements from CANTAB
Learning Converse-level Multimodal Embedding to Assess Social Deficit Severity for Autism Spectrum Disorder
A framework that uses eGemaps as acoustic LLD'S, and BERT for sentence embedding and a attentional GRU network to regress ADOS items.