activity
20182022
most citedInverted Vocal Tract Variables and Facial Action Units to Quantify Neuromotor Coordination in Schizophrenia

1 citations · 4 across the 6 of their papers we have counts for

collaborators

10 papers

eess.AS20221 cited

The Secret Source : Incorporating Source Features to Improve Acoustic-to-Articulatory Speech Inversion

Yashish M. Siriwardena, Carol Espy-Wilson

In this work, we incorporated acoustically derived source features, aperiodicity, periodicity and pitch as additional targets to an acoustic-to-articulatory speech inversion (SI) s…

eess.AS20221 cited

Harmonicity Plays a Critical Role in DNN Based Versus in Biologically-Inspired Monaural Speech Segregation Systems

Rahil Parikh, Ilya Kavalerov, Carol Espy-Wilson +1

Recent advancements in deep learning have led to drastic improvements in speech segregation models. Despite their success and growing applicability, few efforts have been made to a…

eess.AS20221 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.AS20211 cited

Inverted Vocal Tract Variables and Facial Action Units to Quantify Neuromotor Coordination in Schizophrenia

Yashish Maduwantha H. P. E. R. S, Chris Kitchen, Deanna L. Kelly +1

This study investigates the speech articulatory coordination in schizophrenia subjects exhibiting strong positive symptoms (e.g.hallucinations and delusions), using a time delay em…

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…