1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.AS2022★ 1 cited
Multimodal Depression Classification Using Articulatory Coordination Features And Hierarchical Attention Based Text Embeddings
Nadee Seneviratne, Carol Espy-Wilson
Multimodal depression classification has gained immense popularity over the recent years. We develop a multimodal depression classification system using articulatory coordination f…
eess.AS2021
Speech based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model
Nadee Seneviratne, Carol Espy-Wilson
Speech based depression classification has gained immense popularity over the recent years. However, most of the classification studies have focused on binary classification to dis…
eess.AS2020
Generalized Dilated CNN Models for Depression Detection Using Inverted Vocal Tract Variables
Nadee Seneviratne, Carol Espy-Wilson
Depression detection using vocal biomarkers is a highly researched area. Articulatory coordination features (ACFs) are developed based on the changes in neuromotor coordination due…