Machine learning-based voice assessment for the detection of positive and recovered COVID-19 patients

C Robotti, G Costantini, G Saggio, V Cesarini… - Journal of Voice, 2021 - Elsevier
Many virological tests have been implemented during the Coronavirus Disease 2019
(COVID-19) pandemic for diagnostic purposes, but they appear unsuitable for screening …

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 …

Exploring the use of artificial intelligence techniques to detect the presence of coronavirus covid-19 through speech and voice analysis

L Verde, G De Pietro, A Ghoneim, M Alrashoud… - Ieee …, 2021 - ieeexplore.ieee.org
The Covid-19 pandemic represents one of the greatest global health emergencies of the last
few decades with indelible consequences for all societies throughout the world. The cost in …

Voice features of sustained phoneme as COVID-19 biomarker

ND Pah, V Indrawati, DK Kumar - IEEE Journal of Translational …, 2022 - ieeexplore.ieee.org
Background: The COVID-19 pandemic has resulted in enormous costs to our society.
Besides finding medicines to treat those infected by the virus, it is important to find effective …

[HTML][HTML] Artificial intelligence enabled preliminary diagnosis for COVID-19 from voice cues and questionnaires

C Shimon, G Shafat, I Dangoor… - The Journal of the …, 2021 - pubs.aip.org
The COVID-19 outbreak was announced as a global pandemic by the World Health
Organization in March 2020 and has affected a growing number of people in the past few …

Identifying individuals with recent COVID-19 through voice classification using deep learning

P Suppakitjanusant, S Sungkanuparph, T Wongsinin… - Scientific Reports, 2021 - nature.com
Recently deep learning has attained a breakthrough in model accuracy for the classification
of images due mainly to convolutional neural networks. In the present study, we attempted to …

A voice-based biomarker for monitoring symptom resolution in adults with COVID-19: Findings from the prospective Predi-COVID cohort study

G Fagherazzi, L Zhang, A Elbéji, E Higa… - PLOS Digital …, 2022 - journals.plos.org
People with COVID-19 can experience impairing symptoms that require enhanced
surveillance. Our objective was to train an artificial intelligence-based model to predict the …

Voice processing for COVID-19 scanning and prognostic indicator

S Sondhi, A Salhan, CA Santoso, M Doucoure… - Heliyon, 2021 - cell.com
COVID-19 pandemic has posed serious risk of contagion to humans. There is a need to find
reliable non-contact tests like vocal correlates of COVID-19 infection. Thirty-six Asian ethnic …

[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 …

[HTML][HTML] Machine learning based COVID-19 detection from smartphone recordings: cough, breath and speech

M Pahar, T Niesler - 2021 - europepmc.org
We present an experimental investigation into the automatic detection of COVID-19 from
smartphone recordings of coughs, breaths and speech. This type of screening is attractive …