mlsanityData to 7 Oct 2026

Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms

arXiv 2206.05053 ↗First posted 9 Jun 2022cs.HC cs.LG cs.SDcited by 0

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 9 references that are in the map. First posted on arXiv 9 Jun 2022.

Builds on

5 of 9 references.

References · 5

  1. 2020Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Datacited by 60
  2. 2020Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosiscited by 58
  3. 2020AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an Appcited by 48
  4. 2021Multi-modal Point-of-Care Diagnostics for COVID-19 Based On Acoustics and Symptomscited by 4
  5. 2021Towards sound based testing of COVID-19 -- Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challengecited by 4

Built on by

Not cited yet.