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 …

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 …

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 …

[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 …

An early study on intelligent analysis of speech under COVID-19: Severity, sleep quality, fatigue, and anxiety

J Han, K Qian, M Song, Z Yang, Z Ren, S Liu… - arXiv preprint arXiv …, 2020 - arxiv.org
The COVID-19 outbreak was announced as a global pandemic by the World Health
Organisation in March 2020 and has affected a growing number of people in the past few …

[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 …

SARS-CoV-2 detection from voice

G Pinkas, Y Karny, A Malachi, G Barkai… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
Automated voice-based detection of severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) could facilitate the screening for COVID19. A dataset of cellular phone …

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 …

[HTML][HTML] Detection of COVID-19 from voice, cough and breathing patterns: Dataset and preliminary results

V Despotovic, M Ismael, M Cornil, R Mc Call… - Computers in Biology …, 2021 - Elsevier
COVID-19 heavily affects breathing and voice and causes symptoms that make patients'
voices distinctive, creating recognizable audio signatures. Initial studies have already …

Covid-19 and computer audition: An overview on what speech & sound analysis could contribute in the sars-cov-2 corona crisis

BW Schuller, DM Schuller, K Qian, J Liu… - Frontiers in digital …, 2021 - frontiersin.org
At the time of writing this article, the world population is suffering from more than 2 million
registered COVID-19 disease epidemic-induced deaths since the outbreak of the corona …