341 citations · 351 across the 8 of their papers we have counts for
8 papers
Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection
Debarpan Bhattacharya, Neeraj Kumar Sharma, Debottam Dutta +8
This paper presents the Coswara dataset, a dataset containing diverse set of respiratory sounds and rich meta-data, recorded between April-2020 and February-2022 from 2635 individu…
Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals
Debarpan Bhattacharya, Debottam Dutta, Neeraj Kumar Sharma +8
The COVID-19 outbreak resulted in multiple waves of infections that have been associated with different SARS-CoV-2 variants. Studies have reported differential impact of the varian…
Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms
Debarpan Bhattacharya, Debottam Dutta, Neeraj Kumar Sharma +8
The COVID-19 pandemic has accelerated research on design of alternative, quick and effective COVID-19 diagnosis approaches. In this paper, we describe the Coswara tool, a website a…
The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics
Neeraj Kumar Sharma, Srikanth Raj Chetupalli, Debarpan Bhattacharya +3
The Second Diagnosis of COVID-19 using Acoustics (DiCOVA) Challenge aimed at accelerating the research in acoustics based detection of COVID-19, a topic at the intersection of acou…
Towards sound based testing of COVID-19 -- Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge
Neeraj Kumar Sharma, Ananya Muguli, Prashant Krishnan +3
The technology development for point-of-care tests (POCTs) targeting respiratory diseases has witnessed a growing demand in the recent past. Investigating the presence of acoustic…
Multi-modal Point-of-Care Diagnostics for COVID-19 Based On Acoustics and Symptoms
Srikanth Raj Chetupalli, Prashant Krishnan, Neeraj Sharma +6
The research direction of identifying acoustic bio-markers of respiratory diseases has received renewed interest following the onset of COVID-19 pandemic. In this paper, we design…
DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics
Ananya Muguli, Lancelot Pinto, Nirmala R. +9
The DiCOVA challenge aims at accelerating research in diagnosing COVID-19 using acoustics (DiCOVA), a topic at the intersection of speech and audio processing, respiratory health d…
Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis
Neeraj Sharma, Prashant Krishnan, Rohit Kumar +5
The COVID-19 pandemic presents global challenges transcending boundaries of country, race, religion, and economy. The current gold standard method for COVID-19 detection is the rev…