[HTML][HTML] Clinical neurophysiology of Parkinson's disease and parkinsonism

R Chen, A Berardelli, A Bhattacharya… - Clinical neurophysiology …, 2022 - Elsevier
This review is part of the series on the clinical neurophysiology of movement disorders. It
focuses on Parkinson's disease and parkinsonism. The topics covered include the …

Worldwide healthy adult voice baseline parameters: a comprehensive review

G Saggio, G Costantini - Journal of Voice, 2022 - Elsevier
The voice results in acoustic signals analyzed and synthetized at first for telecommunication
matters, and more recently investigated for medical purposes. In particular, voice signal …

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 …

Voice disorder classification using speech enhancement and deep learning models

M Chaiani, SA Selouani, M Boudraa… - Biocybernetics and …, 2022 - Elsevier
With the recent development of speech-enabled interactive systems using artificial agents,
there has been substantial interest in the analysis and classification of voice disorders to …

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 …

Voice analysis with machine learning: one step closer to an objective diagnosis of essential tremor

A Suppa, F Asci, G Saggio, P Di Leo… - Movement …, 2021 - Wiley Online Library
Background Patients with essential tremor have upper limb postural and action tremor often
associated with voice tremor. The objective of this study was to objectively examine voice …

The emotion probe: On the universality of cross-linguistic and cross-gender speech emotion recognition via machine learning

G Costantini, E Parada-Cabaleiro, D Casali, V Cesarini - Sensors, 2022 - mdpi.com
Machine Learning (ML) algorithms within a human–computer framework are the leading
force in speech emotion recognition (SER). However, few studies explore cross-corpora …

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 …

Machine-learning analysis of voice samples recorded through smartphones: the combined effect of ageing and gender

F Asci, G Costantini, P Di Leo, A Zampogna… - Sensors, 2020 - mdpi.com
Background: Experimental studies using qualitative or quantitative analysis have
demonstrated that the human voice progressively worsens with ageing. These studies …