A literature review on COVID-19 disease diagnosis from respiratory sound data

KK Lella, A PJA - arXiv preprint arXiv:2112.07670, 2021 - arxiv.org
The World Health Organization (WHO) has announced a COVID-19 was a global pandemic
in March 2020. It was initially started in china in the year 2019 December and affected an …

[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 …

The INTERSPEECH 2021 computational paralinguistics challenge: COVID-19 cough, COVID-19 speech, escalation & primates

BW Schuller, A Batliner, C Bergler, C Mascolo… - arXiv preprint arXiv …, 2021 - arxiv.org
The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different
problems for the first time in a research competition under well-defined conditions: In the …

Sounds of COVID-19: exploring realistic performance of audio-based digital testing

J Han, T Xia, D Spathis, E Bondareva, C Brown… - NPJ digital …, 2022 - nature.com
To identify Coronavirus disease (COVID-19) cases efficiently, affordably, and at scale, recent
work has shown how audio (including cough, breathing and voice) based approaches can …

Automated, multiparametric monitoring of respiratory biomarkers and vital signs in clinical and home settings for COVID-19 patients

X Ni, W Ouyang, H Jeong, JT Kim… - Proceedings of the …, 2021 - National Acad Sciences
Capabilities in continuous monitoring of key physiological parameters of disease have never
been more important than in the context of the global COVID-19 pandemic. Soft, skin …

AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath

V Dentamaro, P Giglio, D Impedovo, L Moretti, G Pirlo - Pattern Recognition, 2022 - Elsevier
This study presents the Auditory Cortex ResNet (AUCO ResNet), it is a biologically inspired
deep neural network especially designed for sound classification and more specifically for …

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 …

[HTML][HTML] Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough …

KK Lella, A Pja - AIMS public health, 2021 - ncbi.nlm.nih.gov
The issue in respiratory sound classification has attained good attention from the clinical
scientists and medical researcher's group in the last year to diagnosing COVID-19 disease …

Recent advances in computer audition for diagnosing COVID-19: an overview

K Qian, BW Schuller… - 2021 IEEE 3rd Global …, 2021 - ieeexplore.ieee.org
Computer audition (CA) has been demonstrated to be efficient in healthcare domains for
speech-affecting disorders (eg, autism spectrum, depression, or Parkinson's disease) and …

[HTML][HTML] Exploring longitudinal cough, breath, and voice data for COVID-19 progression prediction via sequential deep learning: model development and validation

T Dang, J Han, T Xia, D Spathis, E Bondareva… - Journal of medical …, 2022 - jmir.org
Background Recent work has shown the potential of using audio data (eg, cough, breathing,
and voice) in the screening for COVID-19. However, these approaches only focus on one-off …