|
 | Up a level |
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.
Bhattacharya, D and Dutta, D and Sharma, NK and Chetupalli, SR and Mote, P and Ganapathy, S and Chandrakiran, C and Nori, S and Suhail, KK and Gonuguntla, S and Alagesan, M (2022) Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals. In: 23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022, 18 - 22 September 2022, Incheon, pp. 2473-2477.
Bhattacharya, D and Dutta, D and Sharma, NK and Chetupalli, SR and Mote, P and Ganapathy, S and Chandrakiran, C and Nori, S and Suhail, KK and Gonuguntla, S and Alagesan, M (2022) Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms. In: 23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022, 18 - 22 September 2022, Incheon, pp. 1957-1958.
Chetupalli, SR and Ganapathy, S (2022) Speaker conditioned acoustic modeling for multi-speaker conversational ASR. In: 23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022, 18 - 22 September 2022, Incheon, pp. 3834-3838.
Sharma, NK and Chetupalli, SR and Bhattacharya, D and Dutta, D and Mote, P and Ganapathy, S (2022) THE SECOND DICOVA CHALLENGE: DATASET AND PERFORMANCE ANALYSIS FOR DIAGNOSIS OF COVID-19 USING ACOUSTICS. In: 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, 23 - 27 May 2022, Virtual, Online at Singapore, pp. 556-560.
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.
Singh, P and Varma, R and Krishnamohan, V and Chetupalli, SR and Ganapathy, S (2021) LEAP submission for the third DIHARD diarization challenge. In: 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021, 30 Aug - 03 Sep 2021, Brno, pp. 2538-2542.
Chetupalli, SR and Ganapathy, S (2020) Context dependent RNNLM for automatic transcription of conversations. In: 21st Annual Conference of the International Speech Communication Association, INTERSPEECH, 25-29, October 2020, Shanghai; China;, pp. 886-890.
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.
Chetupalli, SR and Bhowmick, A and Sreenivas, TV (2019) Ad-hoc mobile array based audio segmentation using latent variable stochastic model. In: 27th European Signal Processing Conference, EUSIPCO 2019, 2 - 6 September 2019, Coruna; Spain.
Chetupalli, SR and Sreenivas, TV (2019) Clean speech AE-DNN PSD constraint for MCLP based reverberant speech enhancement. In: 27th European Signal Processing Conference, 2 - 6 September 2019, Coruna; Spain.
Chetupalli, SR and Sreenivas, TV and Gopalakrishnan, A (2019) Comparison of low-dimension speech segment embeddings: Application to speaker diarization. In: 25th National Conference on Communications, NCC 2019, 20 February 2019 - 23 February 2019, Bangalore.
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 .
Bhattacharya, D and Sharma, NK and Dutta, D and Chetupalli, SR and Mote, P and Ganapathy, S and Chandrakiran, C and Nori, S and Suhail, KK and Gonuguntla, S and Alagesan, M (2023) Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection. Nature Research.
