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Machine learning-and statistical-based voice analysis of Parkinson's disease patients: A survey
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 …
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
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 …
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …
Voice in Parkinson's disease: a machine learning study
Introduction Parkinson's disease (PD) is characterized by specific voice disorders
collectively termed hypokinetic dysarthria. We here investigated voice changes by using …
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 …
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
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 …
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
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 …
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
Background Stuttering is a childhood-onset neurodevelopmental disorder affecting speech
fluency. The diagnosis and clinical management of stuttering is currently based on …
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 …
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 …
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 …
through perceptual evaluation, even when undertaken by experienced clinicians …