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 …
[HTML][HTML] 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 activated IoT devices for healthcare: Design challenges and emerging applications
The recent pandemic forced substantial changes in our lives, including the way we interact
with physical objects. For example, voice-activated systems that enable users to …
with physical objects. For example, voice-activated systems that enable users to …
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] 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 …
[HTML][HTML] High-Level CNN and Machine Learning Methods for Speaker Recognition
G Costantini, V Cesarini, E Brenna - Sensors, 2023 - mdpi.com
Speaker Recognition (SR) is a common task in AI-based sound analysis, involving
structurally different methodologies such as Deep Learning or “traditional” Machine …
structurally different methodologies such as Deep Learning or “traditional” Machine …
[HTML][HTML] COVID-19 activity screening by a smart-data-driven multi-band voice analysis
G Silva, P Batista, PM Rodrigues - Journal of Voice, 2022 - Elsevier
COVID-19 is a disease caused by the new coronavirus SARS-COV-2 which can lead to
severe respiratory infections. Since its first detection it caused more than six million …
severe respiratory infections. Since its first detection it caused more than six million …
[HTML][HTML] Dissociating COVID-19 from other respiratory infections based on acoustic, motor coordination, and phonemic patterns
In the face of the global pandemic caused by the disease COVID-19, researchers have
increasingly turned to simple measures to detect and monitor the presence of the disease in …
increasingly turned to simple measures to detect and monitor the presence of the disease in …
[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 …
Fundamental frequency related parameters in Brazilians with COVID-19
This study compares fundamental frequency (fo) and fundamental frequency standard
deviation (fo SD) of COVID-19 patients with the same parameters in the speech of subjects …
deviation (fo SD) of COVID-19 patients with the same parameters in the speech of subjects …