Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms
23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022
; 2022-September:1957-1958, 2022.
Article
in English
| Scopus | ID: covidwho-2083437
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. Copyright © 2022 ISCA.
Search on Google
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS