[HTML][HTML] Machine learning based COVID-19 detection from smartphone recordings: cough, breath and speech
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 …
smartphone recordings of coughs, breaths and speech. This type of screening is attractive …
[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 …
voices distinctive, creating recognizable audio signatures. Initial studies have already …
COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features
We present an experimental investigation into the effectiveness of transfer learning and
bottleneck feature extraction in detecting COVID-19 from audio recordings of cough, breath …
bottleneck feature extraction in detecting COVID-19 from audio recordings of cough, breath …
A machine learning framework for covid detection using cough sounds
P Srikantrh, CK Behera - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The present COVID-19 diagnosis necessitates direct patient interaction, involves variable
duration to get outcomes, and is costly. In certain poor nations, this is even unreachable to …
duration to get outcomes, and is costly. In certain poor nations, this is even unreachable to …
[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 …
sounds and coughs collected by smartphones for training Machine Learning models to …
End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study
Background Since the emergence of COVID-19 in December 2019, multidisciplinary
research teams have wrestled with how best to control the pandemic in light of its …
research teams have wrestled with how best to control the pandemic in light of its …
Project Achoo: a practical model and application for COVID-19 detection from recordings of breath, voice, and cough
A Ponomarchuk, I Burenko, E Malkin… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The COVID-19 pandemic created significant interest and demand for infection detection and
monitoring solutions. In this paper, we propose a machine learning method to quickly detect …
monitoring solutions. In this paper, we propose a machine learning method to quickly detect …
QUCoughScope: An artificially intelligent mobile application to detect asymptomatic COVID-19 patients using cough and breathing sounds
In the break of COVID-19 pandemic, mass testing has become essential to reduce the
spread of the virus. Several recent studies suggest that a significant number of COVID-19 …
spread of the virus. Several recent studies suggest that a significant number of COVID-19 …
[PDF][PDF] Speaking Corona? Human and machine recognition of COVID-19 from voice
With the COVID-19 pandemic, several research teams have reported successful advances
in automated recognition of COVID-19 by voice. Resulting voice-based screening tools for …
in automated recognition of COVID-19 by voice. Resulting voice-based screening tools for …
[HTML][HTML] The acoustic dissection of cough: diving into machine listening-based COVID-19 analysis and detection
Objectives The coronavirus disease 2019 (COVID-19) has caused a crisis worldwide.
Amounts of efforts have been made to prevent and control COVID-19′ s transmission, from …
Amounts of efforts have been made to prevent and control COVID-19′ s transmission, from …