Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms
Abstract
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.
- Publication:
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arXiv e-prints
- Pub Date:
- June 2022
- DOI:
- arXiv:
- arXiv:2206.05053
- Bibcode:
- 2022arXiv220605053B
- Keywords:
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- Computer Science - Human-Computer Interaction;
- Computer Science - Machine Learning;
- Computer Science - Sound;
- Electrical Engineering and Systems Science - Audio and Speech Processing;
- Electrical Engineering and Systems Science - Signal Processing
- E-Print:
- Interspeech, 2022