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Found 5 papers, 2 papers with code
Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms
The COVID-19 pandemic has accelerated research on design of alternative, quick and effective COVID-19 diagnosis approaches.
Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection
The rich metadata contained demographic information associated with age, gender and geographic location, as well as the health information relating to the symptoms, pre-existing respiratory ailments, comorbidity and SARS-CoV-2 test status.
Towards sound based testing of COVID-19 -- Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge
As part of the challenge, datasets with breathing, cough, and speech sound samples from COVID-19 and non-COVID-19 individuals were released to the participants.
The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics
This paper presents the details of the challenge, which was an open call for researchers to analyze a dataset of audio recordings consisting of breathing, cough and speech signals.
Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals
The COVID-19 outbreak resulted in multiple waves of infections that have been associated with different SARS-CoV-2 variants.
