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This study investigates the speech articulatory coordination in schizophrenia subjects exhibiting strong positive symptoms (e.g. hallucinations and delusions), using two distinct channel-delay correlation methods. We show that the…

Audio and Speech Processing · Electrical Eng. & Systems 2023-05-18 Yashish M. Siriwardena , Chris Kitchen , Deanna L. Kelly , Carol Espy-Wilson

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

Audio and Speech Processing · Electrical Eng. & Systems 2021-02-16 Yashish Maduwantha H. P. E. R. S , Chris Kitchen , Deanna L. Kelly , Carol Espy-Wilson

Speech patterns have been identified as potential diagnostic markers for neuropsychiatric conditions. However, most studies only compare a single clinical group to healthy controls, whereas clinical practice often requires differentiating…

Several studies have shown that speech and language features, automatically extracted from clinical interviews or spontaneous discourse, have diagnostic value for mental disorders such as schizophrenia and bipolar disorder. They typically…

Computation and Language · Computer Science 2019-07-30 Rohit Voleti , Stephanie Woolridge , Julie M. Liss , Melissa Milanovic , Christopher R. Bowie , Visar Berisha

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 condition and reducing its clinical applicability. This traditional…

Audio and Speech Processing · Electrical Eng. & Systems 2025-09-29 Gowtham Premananth , Philip Resnik , Sonia Bansal , Deanna L. Kelly , 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 schizophrenia severity scores from speech using a feature fusion…

Audio and Speech Processing · Electrical Eng. & Systems 2024-11-21 Gowtham Premananth , Carol Espy-Wilson

Background: The precise quantification of negative symptoms is necessary to improve differential diagnosis and prognosis prediction in Schizophrenia. In chronic psychotic patients, the representation of verbal reports as word graphs…

Neurons and Cognition · Quantitative Biology 2016-11-01 Natalia B. Mota , Mauro Copelli , Sidarta Ribeiro

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 methods. While most machine-assisted approaches focus on…

Audio and Speech Processing · Electrical Eng. & Systems 2025-11-06 Gowtham Premananth , Philip Resnik , Sonia Bansal , Deanna L. Kelly , Carol Espy-Wilson

Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional, and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of motivation, and difficulties in concentration. Diagnosing…

Psychiatric illnesses are often associated with multiple symptoms, whose severity must be graded for accurate diagnosis and treatment. This grading is usually done by trained clinicians based on human observations and judgments made within…

Sound · Computer Science 2017-03-17 Rita Singh , Justin Baker , Luciana Pennant , Louis-Philippe Morency

Multimodal schizophrenia assessment systems have gained traction over the last few years. This work introduces a schizophrenia assessment system to discern between prominent symptom classes of schizophrenia and predict an overall…

Audio and Speech Processing · Electrical Eng. & Systems 2024-11-19 Gowtham Premananth , Carol Espy-Wilson

Schizophrenia is a severe yet treatable mental disorder, it is diagnosed using a multitude of primary and secondary symptoms. Diagnosis and treatment for each individual depends on the severity of the symptoms, therefore there is a need for…

Human-Computer Interaction · Computer Science 2023-10-26 Niki Maria Foteinopoulou , Ioannis Patras

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 positive symptoms. We developed a multi-modal schizophrenia…

Signal Processing · Electrical Eng. & Systems 2024-04-22 Gowtham Premananth , Yashish M. Siriwardena , Philip Resnik , 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 abnormalities in spontaneous language production reflect underlying…

Computation and Language · Computer Science 2025-11-06 Gowtham Premananth , Carol Espy-Wilson

The increasing access to brain signal data using electroencephalography creates new opportunities to study electrophysiological brain activity and perform ambulatory diagnoses of neuronal diseases. This work proposes a pairwise distance…

Machine Learning · Computer Science 2019-09-09 David Calhas , Enrique Romero , Rui Henriques

Schizophrenia is one of the most disabling and difficult to treat of all human medical/health conditions, ranking in the top ten causes of disability worldwide. It has been a puzzle in part due to difficulty in identifying its basic,…

Computation and Language · Computer Science 2018-10-23 Efsun Sarioglu Kayi , Mona Diab , Luca Pauselli , Michael Compton , Glen Coppersmith

Schizophrenia is a complex psychiatric disorder involving changes in thought patterns, perception, mood, and behavior. The diagnosis of schizophrenia is challenging and requires that patients show two or more positive symptoms for at least…

Machine Learning · Computer Science 2021-02-17 Maritza Tynes , Mahboobeh Parsapoor

Schizophrenia is a debilitating, chronic mental disorder that significantly impacts an individual's cognitive abilities, behavior, and social interactions. It is characterized by subtle morphological changes in the brain, particularly in…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Nagur Shareef Shaik , Teja Krishna Cherukuri , Vince Calhoun , Dong Hye Ye

Dementia is a syndrome, generally of a chronic nature characterized by a deterioration in cognitive function, especially in the geriatric population and is severe enough to impact their daily activities. Early diagnosis of dementia is…

Audio and Speech Processing · Electrical Eng. & Systems 2020-07-21 Rupayan Chakraborty , Meghna Pandharipande , Chitralekha Bhat , Sunil Kumar Kopparapu

Schizophrenia is a severe mental health condition that requires a long and complicated diagnostic process. However, early diagnosis is vital to control symptoms. Deep learning has recently become a popular way to analyse and interpret…

Machine Learning · Computer Science 2022-04-01 Daniel Organisciak , Hubert P. H. Shum , Ephraim Nwoye , Wai Lok Woo
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