activity
20242026
collaborators

11 papers

eess.AS2026

Speaker Verification Under Real Classroom Conditions for English Speech

Saba Tabatabaee, Jing Liu, Meghavarshini Krishnaswamy +2

Developing speaker verification (SV) models that are robust to classroom noise and effective across both children and adult speakers is critical for AI tools supporting educational…

cs.CL2025

A Computational Approach to Analyzing Disrupted Language in Schizophrenia: Integrating Surprisal and Coherence Measures

Gowtham Premananth, Carol Espy-Wilson

Language disruptions are one of the well-known effects of schizophrenia symptoms. They are often manifested as disorganized speech and impaired discourse coherence. These abnormali…

eess.AS2025

Speech-Based Prioritization for Schizophrenia Intervention

Gowtham Premananth, Philip Resnik, Sonia Bansal +2

Millions of people suffer from mental health conditions, yet many remain undiagnosed or receive delayed care due to limited clinical resources and labor-intensive assessment method…

eess.AS2025

Quantifying Articulatory Coordination as a Biomarker for Schizophrenia

Gowtham Premananth, Carol Espy-Wilson

Advances in artificial intelligence (AI) and deep learning have improved diagnostic capabilities in healthcare, yet limited interpretability continues to hinder clinical adoption.…

eess.AS2025

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…

eess.AS2025

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…