[HTML][HTML] 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 …

[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 …

[HTML][HTML] Robust and language-independent acoustic features in Parkinson's disease

S Scimeca, F Amato, G Olmo, F Asci, A Suppa… - Frontiers in …, 2023 - frontiersin.org
Introduction The analysis of vocal samples from patients with Parkinson's disease (PDP) can
be relevant in supporting early diagnosis and disease monitoring. Intriguingly, speech …

[HTML][HTML] Machine learning assessment of spasmodic dysphonia based on acoustical and perceptual parameters

F Calà, L Frassineti, C Manfredi, P Dejonckere… - Bioengineering, 2023 - mdpi.com
Adductor spasmodic dysphonia is a type of adult-onset focal dystonia characterized by
involuntary spasms of laryngeal muscles. This paper applied machine learning techniques …

[HTML][HTML] Artificial intelligence procedure for the screening of genetic syndromes based on voice characteristics

F Calà, L Frassineti, E Sforza, R Onesimo, L D'Alatri… - Bioengineering, 2023 - mdpi.com
Perceptual and statistical evidence has highlighted voice characteristics of individuals
affected by genetic syndromes that differ from those of normophonic subjects. In this paper …

[HTML][HTML] New Advances in Audio Signal Processing

G Costantini, D Casali, V Cesarini - Applied Sciences, 2024 - mdpi.com
The growth in computing capabilities has significantly transformed the realm of data analysis
and processing, most notably through the widespread adoption of artificial intelligence (AI) …

Features of 3-D Phase Space Attractors as Descriptors of Chaotic Laws in Voice Signals for the AI-based Detection of Dysphonia

V Cesarini, M Magliocchetti, D Calicchia… - … on Metrology for …, 2024 - ieeexplore.ieee.org
Pathological voice signals, especially when affected by artifacts such as hoarseness or
wetness, can be hard to analyze with traditional transform-based methods. Thus, we …

A Novel Algorithm for Detecting Spasmodic Dysphonia Voice Pathology using Random Forest Frame Work

GLN Murthy, V Iswarya, KR Sri… - … Conference on Edge …, 2022 - ieeexplore.ieee.org
Spasmodic dysphonia, a rare voice disorder is detected in the current work using Random
Forest frame work. Voice pathology is related to the vocal tract area affecting the quality of …

AI-Based Procedure for the Assessment of Voice Characteristics in Genetic Syndromes

F Calà, L Frassineti, E Sforza, R Onesimo, L D'Alatri… - 2023 - preprints.org
Perceptual and statistical evidence has underlined voice characteristics of individuals
affected by genetic syndromes different from that of normophonic subjects. In this paper we …

[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 …