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Conference Proceedings

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.

Conference Paper

Kalluri, SB and Vijayasenan, D and Ganapathy, S and Ragesh Rajan, M and Krishnan, P (2021) NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling. In: International Conference on Acoustics, Speech and Signal Processing - Proceedings, 06 - 11 June 2021, Toronto, pp. 6953-6957.

Ramoji, S and Krishnan, P and Ganapathy, S (2020) Neural PLDA modeling for end-to-end speaker verification. In: 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020, 25 October 2020, Shanghai; China, pp. 4333-4337.

Sharma, N and Krishnan, P and Kumar, R and Ramoji, S and Chetupalli, SR and Nirmala, R and Kumar Ghosh, P and Ganapathy, S (2020) Coswara - A database of breathing, cough, and voice sounds for COVID-19 diagnosis. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 25 October 2020 through 29 October 2020, Shanghai; China, pp. 4811-4815.

Journal Article

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 .