EDAC: Efficient Deployment of Audio Classification Models For COVID-19 Detection

A Jovanović, M Mihaly, L Donaldson - arXiv preprint arXiv:2309.05357, 2023 - arxiv.org
The global spread of COVID-19 had severe consequences for public health and the world
economy. The quick onset of the pandemic highlighted the potential benefits of cheap and …

Classification of Respiratory Diseases and COVID-19 from Respiratory and Cough Sounds

MM Ahasan, M Fahim, H Mazumder… - … on Innovation and …, 2022 - ieeexplore.ieee.org
Infectious and non-infectious respiratory diseases are among the primary reasons for
deaths, financial and social crises around the world. In this study, we present a comparative …

Audio-based deep learning frameworks for detecting covid-19

D Ngo, L Pham, T Hoang, Ş Kolozali… - 2022 30th European …, 2022 - ieeexplore.ieee.org
This paper evaluates a wide range of audio-based deep learning frameworks applied to the
breathing, cough, and speech sounds for detecting COVID-19. In general, the audio …

[PDF][PDF] A Comprehensive Review on COVID-19 Cough Audio Classification through Deep Learning

P Gupta, S Degadwala - development, 2023 - academia.edu
This review paper provides a comprehensive analysis of the advancements in COVID-19
cough audio classification through deep learning techniques. With the ongoing global …

Exploring Potential Audio Features for Respiratory Disorder Detection with COVID-19

SS Ayade, GR Ramya, P Kumar - 2023 14th International …, 2023 - ieeexplore.ieee.org
The COVID-19 pandemic has presented unprecedented challenges to public health, with
the detection and isolation of potentially infected patients being one of the most crucial …

[HTML][HTML] High accuracy classification of COVID-19 coughs using Mel-frequency cepstral coefficients and a Convolutional Neural Network with a use case for smart …

R Dunne, T Morris, S Harper - 2020 - europepmc.org
Diagnosing COVID-19 early in domestic settings is possible through smart home devices
that can classify audio input of coughs, and determine whether they are COVID-19 …

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques

MM Ahasan, M Fahim, H Mazumder, NE Fatema… - 2022 - dspace.bracu.ac.bd
Infectious and non-infectious respiratory diseases are among the major reasons for deaths,
financial and social crises around the world. However, medical personnel still find it very …

A Three-Fold Machine Learning Approach for Detection of COVID-19 from Audio Data

N Kumar, V Mittal, Y Sharma - … Science and Its Applications–ICCSA 2021 …, 2021 - Springer
Most work on leveraging machine learning techniques has been focused on using chest CT
scans or X-ray images. However, this approach requires special machinery, and is not very …

Audio feature ranking for sound-based COVID-19 patient detection

JA Meister, KA Nguyen, Z Luo - EPIA Conference on Artificial Intelligence, 2022 - Springer
Audio classification using breath and cough samples has recently emerged as a low-cost,
non-invasive, and accessible COVID-19 screening method. However, a comprehensive …

[PDF][PDF] Recognising covid-19 from coughing using ensembles of svms and lstms with handcrafted and deep audio features

V Karas, BW Schuller - 2021 - opus.bibliothek.uni-augsburg.de
As the Covid-19 pandemic continues, digital health solutions can provide valuable insights
and assist in diagnosis and prevention. Since the disease affects the respiratory system, it is …