[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 …
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 …
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
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 …
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 …
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 …
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
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 …
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 …
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 …
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
Background: Experimental studies using qualitative or quantitative analysis have
demonstrated that the human voice progressively worsens with ageing. These studies …
demonstrated that the human voice progressively worsens with ageing. These studies …