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Srikanth Raj Chetupalli
Srikanth Raj Chetupalli
Verified email at ece.iisc.ernet.in
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Year
Coswara--a database of breathing, cough, and voice sounds for COVID-19 diagnosis
N Sharma, P Krishnan, R Kumar, S Ramoji, SR Chetupalli, PK Ghosh, ...
arXiv preprint arXiv:2005.10548, 2020
1432020
DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics
A Muguli, L Pinto, N Sharma, P Krishnan, PK Ghosh, R Kumar, S Bhat, ...
arXiv preprint arXiv:2103.09148, 2021
552021
NR, PK Ghosh, and S
N Sharma, P Krishnan, R Kumar, S Ramoji, SR Chetupalli
Ganapathy,“Coswara–a database of breathing, cough, and voice sounds for …, 2020
282020
Nirmala R
N Sharma, P Krishnan, R Kumar, S Ramoji, SR Chetupalli
Prasanta Kumar Ghosh, and Sriram Ganapathy,“Coswara–A Database of Breathing …, 2020
182020
Late reverberation cancellation using bayesian estimation of multi-channel linear predictors and student's t-source prior
SR Chetupalli, TV Sreenivas
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (6), 1007 …, 2019
112019
Time varying linear prediction using sparsity constraints
SR Chetupalli, TV Sreenivas
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
112014
Coswara—A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis. arXiv 2020
N Sharma, P Krishnan, R Kumar, S Ramoji, SR Chetupalli, PK Ghosh, ...
arXiv preprint arXiv:2005.10548, 0
11
Coswara–A Database of Breathing
N Sharma, P Krishnan, R Kumar, S Ramoji, SR Chetupalli, PK Ghosh, ...
Cough, and Voice Sounds for COVID-19 Diagnosis. arXiv preprint arXiv 200510548, 2020
92020
Mel-scale sub-band modelling for perceptually improved time-scale modification of speech and audio signals
N Sharma, S Potadar, SR Chetupalli, TV Sreenivas
2017 Twenty-Third National Conference on Communications (NCC), 1-5, 2017
82017
Investigating feature selection and explainability for COVID-19 diagnostics from cough sounds
F Avila, AH Poorjam, D Mittal, C Dognin, A Muguli, R Kumar, ...
22nd Annual Conference of the International Speech Communication Association …, 2021
72021
Multi-modal point-of-care diagnostics for covid-19 based on acoustics and symptoms
SR Chetupalli, P Krishnan, N Sharma, A Muguli, R Kumar, V Nanda, ...
arXiv preprint arXiv:2106.00639, 2021
62021
The Second DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics
NK Sharma, SR Chetupalli, D Bhattacharya, D Dutta, P Mote, ...
arXiv preprint arXiv:2110.01177, 2021
62021
Towards sound based testing of COVID-19—Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge
NK Sharma, A Muguli, P Krishnan, R Kumar, SR Chetupalli, S Ganapathy
Computer Speech & Language 73, 101320, 2022
52022
The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics
NK Sharma, SR Chetupalli, D Bhattacharya, D Dutta, P Mote, ...
arXiv preprint arXiv:2110.01177, 2021
42021
Robust offline trained neural network for TDOA based sound source localization
SR Chetupalli, A Ram, VS Thippur
2018 Twenty Fourth National Conference on Communications (NCC), 1-5, 2018
42018
Time-varying signal adaptive transform and IHT recovery of compressive sensed speech
CS Raj, TV Sreenivas
Twelfth Annual Conference of the International Speech Communication Association, 2011
42011
Joint spatial filter and time-varying mclp for dereverberation and interference suppression of a dynamic/static speech source
SR Chetupalli, TV Sreenivas
arXiv preprint arXiv:1910.09782, 2019
22019
LEAP submission for the third DIHARD diarization challenge
P Singh, R Varma, V Krishnamohan, SR Chetupalli, S Ganapathy
arXiv preprint arXiv:2104.02359, 2021
12021
Spatial Analysis and Reconstruction of Reverberant Speech
SR Chetupalli
12020
Context dependent RNNLM for automatic transcription of conversations
SR Chetupalli, S Ganapathy
arXiv preprint arXiv:2008.03517, 2020
12020
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