3 citations · 3 across the 6 of their papers we have counts for
6 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…
A Multimodal Framework for the Assessment of the Schizophrenia Spectrum
Gowtham Premananth, Yashish M. Siriwardena, Philip Resnik +3
This paper presents a novel multimodal framework to distinguish between different symptom classes of subjects in the schizophrenia spectrum and healthy controls using audio, video,…
A multi-modal approach for identifying schizophrenia using cross-modal attention
Gowtham Premananth, Yashish M. Siriwardena, Philip Resnik +1
This study focuses on how different modalities of human communication can be used to distinguish between healthy controls and subjects with schizophrenia who exhibit strong positiv…