The COVID-19 pandemic has accelerated research on design of alternative, quick and effective COVID-19 diagnosis approaches. In this paper, we describe the Coswara tool, a website application designed to enable COVID-19 detection by analysing respiratory sound samples and health symptoms. A user using this service can log into a website using any device connected to the internet, provide there current health symptom information and record few sound sampled corresponding to breathing, cough, and speech. Within a minute of analysis of this information on a cloud server the website tool will output a COVID-19 probability score to the user. As the COVID-19 pandemic continues to demand massive and scalable population level testing, we hypothesize that the proposed tool provides a potential solution towards this.
Cite as: Bhattacharya, D., Dutta, D., Kumar Sharma, N., Raj Chetupalli, S., Mote, P., Ganapathy, S., C, C., Nori, S., K K, S., Gonuguntla, S., Alagesan, M. (2022) Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms. Proc. Interspeech 2022, 1957-1958
@inproceedings{bhattacharya22b_interspeech,
author={Debarpan Bhattacharya and Debottam Dutta and Neeraj {Kumar Sharma} and Srikanth {Raj Chetupalli} and Pravin Mote and Sriram Ganapathy and Chandrakiran C and Sahiti Nori and Suhail {K K} and Sadhana Gonuguntla and Murali Alagesan},
title={{Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms}},
year=2022,
booktitle={Proc. Interspeech 2022},
pages={1957--1958}
}