most citedThe Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics

5 citations · 8 across the 3 of their papers we have counts for

collaborators

5 papers

eess.AS20215 cited

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…

eess.AS2021

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…

eess.AS20213 cited

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…

eess.AS2021

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…

eess.AS2020

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…