Valerio Cesarini

Orcid: 0000-0002-8305-3604

According to our database1, Valerio Cesarini authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Multi-class Machine Learning Detection of Edema, Vocal Paralysis and Vocal Nodules through Voice.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 and IoT, 2024

Features of 3-D Phase Space Attractors as Descriptors of Chaotic Laws in Voice Signals for the AI-based Detection of Dysphonia.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 and IoT, 2024

2023
Machine learning- and statistical-based voice analysis of Parkinson's disease patients: A survey.
Expert Syst. Appl., June, 2023

High-Level CNN and Machine Learning Methods for Speaker Recognition.
Sensors, April, 2023

Artificial Intelligence-Based Voice Assessment of Patients with Parkinson's Disease Off and On Treatment: Machine vs. Deep-Learning Comparison.
Sensors, February, 2023

Automatic Detection of Myotonia using a Sensory Glove with Resistive Flex Sensors and Machine Learning Techniques.
Proceedings of the 2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2023

Hallmarks of Parkinson's disease progression determined by temporal evolution of speech attractors in the reconstructed phase-space.
Proceedings of the 2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2023

2022
The Emotion Probe: On the Universality of Cross-Linguistic and Cross-Gender Speech Emotion Recognition via Machine Learning.
Sensors, 2022

Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures.
Knowl. Based Syst., 2022

Obesity and Gastro-Esophageal Reflux voice disorders: a Machine Learning approach.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

A Subset of Acoustic Features for Machine Learning-based and Statistical Approaches in Speech Emotion Recognition.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

Machine Learning-based Study of Dysphonic Voices for the Identification and Differentiation of Vocal Cord Paralysis and Vocal Nodules.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021
NMF Based System for Speaker Identification.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021

A Machine Learning-Based Voice Analysis for the Detection of Dysphagia Biomarkers.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021


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