4 papers
Multimodal Biomarkers for Schizophrenia: Towards Individual Symptom Severity Estimation
Gowtham Premananth, Philip Resnik, Sonia Bansal +2
Studies on schizophrenia assessments using deep learning typically treat it as a classification task to detect the presence or absence of the disorder, oversimplifying the conditio…
Analyzing the Impact of Accent on English Speech: Acoustic and Articulatory Perspectives
Gowtham Premananth, Vinith Kugathasan, Carol Espy-Wilson
Advancements in AI-driven speech-based applications have transformed diverse industries ranging from healthcare to customer service. However, the increasing prevalence of non-nativ…
Speech-Based Estimation of Schizophrenia Severity Using Feature Fusion
Gowtham Premananth, Carol Espy-Wilson
Speech-based assessment of the schizophrenia spectrum has been widely researched over in the recent past. In this study, we develop a deep learning framework to estimate schizophre…
Self-supervised Multimodal Speech Representations for the Assessment of Schizophrenia Symptoms
Gowtham Premananth, Carol Espy-Wilson
Multimodal schizophrenia assessment systems have gained traction over the last few years. This work introduces a schizophrenia assessment system to discern between prominent sympto…