Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review

J Zhang, J Wu, Y Qiu, A Song, W Li, X Li… - Computers in Biology and …, 2023 - Elsevier
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …

A survey on applications of artificial intelligence in fighting against COVID-19

J Chen, K Li, Z Zhang, K Li, PS Yu - ACM Computing Surveys (CSUr), 2021 - dl.acm.org
The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide,
leading to a global outbreak. Most governments, enterprises, and scientific research …

[HTML][HTML] Automatic diagnosis of COVID-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: cough, voice, and …

KK Lella, A Pja - Alexandria Engineering Journal, 2022 - Elsevier
The problem of respiratory sound classification has received good attention from the clinical
scientists and medical researcher's community in the last year to the diagnosis of COVID-19 …

Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method

NK Chowdhury, MA Kabir, MM Rahman… - Computers in Biology …, 2022 - Elsevier
This research aims to analyze the performance of state-of-the-art machine learning
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …

Lung sound classification using co-tuning and stochastic normalization

T Nguyen, F Pernkopf - IEEE Transactions on Biomedical …, 2022 - ieeexplore.ieee.org
Computational methods for lung sound analysis are beneficial for computer-aided diagnosis
support, storage and monitoring in critical care. In this paper, we use pre-trained ResNet …

[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 …

End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study

H Coppock, A Gaskell, P Tzirakis, A Baird… - BMJ …, 2021 - innovations.bmj.com
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 …

The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests

F Manzella, G Pagliarini, G Sciavicco, IE Stan - Artificial Intelligence in …, 2023 - Elsevier
Symbolic learning is the logic-based approach to machine learning, and its mission is to
provide algorithms and methodologies to extract logical information from data and express it …

[HTML][HTML] Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey

A Ijaz, M Nabeel, U Masood, T Mahmood… - Informatics in Medicine …, 2022 - Elsevier
Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …

COVID-19 sounds: a large-scale audio dataset for digital respiratory screening

T **a, D Spathis, J Ch, A Grammenos… - Thirty-fifth conference …, 2021 - openreview.net
Audio signals are widely recognised as powerful indicators of overall health status, and
there has been increasing interest in leveraging sound for affordable COVID-19 screening …