1 citations · 1 across the 4 of their papers we have counts for
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Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals
Rahil Parikh, Nadee Seneviratne, Ganesh Sivaraman +2
Multi-resolution spectro-temporal features of a speech signal represent how the brain perceives sounds by tuning cortical cells to different spectral and temporal modulations. Thes…
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…
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…
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…