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Muguli, A and Pinto, L and Nirmala, R and Sharma, N and Krishnan, P and Ghoshy, PK and Kumar, R and Bhat, S and Chetupalli, SR and Ganapathy, S and Ramoji, S and Nanda, V (2021) DiCOVA challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics. In: 22nd Annual Conference of the International Speech Communication Association, 30 - 3 September 2021, Brno, pp. 4241-4245.
Avila, F and Poorjam, AH and Mittal, D and Dognin, C and Muguli, A and Kumar, R and Chetupalli, SR and Ganapathy, S and Singh, M (2021) Investigating feature selection and explainability for COVID-19 diagnostics from cough sounds. In: 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021, 30 Aug - 03 Sep 2021, Brno, pp. 4246-4250.
Chetupalli, SR and Krishnan, P and Sharma, N and Muguli, A and Kumar, A and Nanda, V and Pinto, LM and Ghosh, PK and Ganapathy, S (2023) Multi-Modal Point-of-Care Diagnostics for COVID-19 Based on Acoustics and Symptoms. In: IEEE Journal of Translational Engineering in Health and Medicine, 11 . pp. 199-210.
Sharma, NK and Muguli, A and Krishnan, P and Kumar, R and Chetupalli, SR and Ganapathy, S (2022) Towards sound based testing of COVID-19�Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge. In: Computer Speech and Language, 73 .
