Artificial intelligence techniques for the non-invasive detection of COVID-19 through the analysis of voice signals

L Verde, G De Pietro, G Sannino - Arabian Journal for Science and …, 2023 - Springer
Healthcare sensors represent a valid and non-invasive instrument to capture and analyse
physiological data. Several vital signals, such as voice signals, can be acquired anytime and …

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 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] 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 …

[HTML][HTML] Do you have COVID-19? An artificial intelligence-based screening tool for COVID-19 using acoustic parameters

A Vahedian-Azimi, A Keramatfar, M Asiaee… - The Journal of the …, 2021 - pubs.aip.org
This study aimed to develop an artificial intelligence (AI)-based tool for screening COVID-19
patients based on the acoustic parameters of their voices. Twenty-five acoustic parameters …

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 …

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 …

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 …

How to spot COVID‐19 patients: Speech & sound audio analysis for preliminary diagnosis of SARS‐COV‐2 corona patients

A Sharma, A Baldi… - International Journal of …, 2021 - Wiley Online Library
Background The global cases of COVID‐19 increasing day by day. On 25 November 2020,
a total of 59 850 910 cases reported globally with a 1 411 216 global death. In India, total …

[HTML][HTML] Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings

M Aly, KH Rahouma, SM Ramzy - Alexandria Engineering Journal, 2022 - Elsevier
Since the outbreak of COVID-19, many efforts have been made to utilize the respiratory
sounds and coughs collected by smartphones for training Machine Learning models to …