期刊
INTERSPEECH 2022
卷 -, 期 -, 页码 1957-1958出版社
ISCA-INT SPEECH COMMUNICATION ASSOC
关键词
COVID-19; web application; cough; breathing; vowel; counting and speech
类别
资金
- Department of Science and Technology (DST), Government of India
This paper describes a COVID-19 detection tool based on the analysis of respiratory sound samples and health symptoms. Users can upload relevant information to a cloud server via a website application, and within a minute, receive a COVID-19 probability score. This tool provides a potential solution for large-scale population testing.
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.
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