Machine learning-and statistical-based voice analysis of Parkinson's disease patients: A survey

F Amato, G Saggio, V Cesarini, G Olmo… - Expert Systems with …, 2023 - Elsevier
The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson's
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …

Artificial intelligence-based voice assessment of patients with Parkinson's disease off and on treatment: machine vs. deep-learning comparison

G Costantini, V Cesarini, P Di Leo, F Amato, A Suppa… - Sensors, 2023 - mdpi.com
Parkinson's Disease (PD) is one of the most common non-curable neurodegenerative
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …

Voice in Parkinson's disease: a machine learning study

A Suppa, G Costantini, F Asci, P Di Leo… - Frontiers in …, 2022 - frontiersin.org
Introduction Parkinson's disease (PD) is characterized by specific voice disorders
collectively termed hypokinetic dysarthria. We here investigated voice changes by using …

Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures

G Costantini, C Robotti, M Benazzo… - Knowledge-Based …, 2022 - Elsevier
Alongside the currently used nasal swab testing, the COVID-19 pandemic situation would
gain noticeable advantages from low-cost tests that are available at any-time, anywhere, at a …

[HTML][HTML] Voice disorder multi-class classification for the distinction of Parkinson's disease and adductor spasmodic dysphonia

V Cesarini, G Saggio, A Suppa, F Asci, A Pisani… - Applied Sciences, 2023 - mdpi.com
Parkinson's Disease and Adductor-type Spasmodic Dysphonia are two neurological
disorders that greatly decrease the quality of life of millions of patients worldwide. Despite …

Effects of deep brain stimulation of the subthalamic nucleus on patients with Parkinson's disease: a machine-learning voice analysis

A Suppa, F Asci, G Costantini, F Bove, C Piano… - Frontiers in …, 2023 - frontiersin.org
Introduction Deep brain stimulation of the subthalamic nucleus (STN-DBS) can exert
relevant effects on the voice of patients with Parkinson's disease (PD). In this study, we used …

Acoustic analysis in stuttering: a machine-learning study

F Asci, L Marsili, A Suppa, G Saggio, E Michetti… - Frontiers in …, 2023 - frontiersin.org
Background Stuttering is a childhood-onset neurodevelopmental disorder affecting speech
fluency. The diagnosis and clinical management of stuttering is currently based on …

Obesity and gastro-esophageal reflux voice disorders: a machine learning approach

F Amato, M Fasani, G Raffaelli… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Automatic assessment of speech disorders is a cutting-edge topic in vocal analysis. Recent
studies indicated possible connections between eating disorders and voice alterations. In …

Hallmarks of Parkinson's disease progression determined by temporal evolution of speech attractors in the reconstructed phase-space

F Amato, V Cesarini, L Pietrosanti… - … on Metrology for …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is one of the most widespread neurodegenerative diseases
worldwide, affected by a number of alterations, among which speech impairments that …

[PDF][PDF] Machine Learning-based Study of Dysphonic Voices for the Identification and Differentiation of Vocal Cord Paralysis and Vocal Nodules.

V Cesarini, C Robotti, Y Piromalli… - …, 2022 - pdfs.semanticscholar.org
Dysphonia can be caused by multiple different conditions, which are often indistinguishable
through perceptual evaluation, even when undertaken by experienced clinicians …