Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021

This report describes the system used for detecting COVID-19 positives using three different acoustic modalities, namely speech, breathing, and cough in the second DiCOVA challenge. The proposed system is based on the combination of 4 different approaches, each focusing more on one aspect of the pro...

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Bibliographic Details
Main Authors Mittal, Deepak, Poorjam, Amir H, Dutta, Debottam, Bhattacharya, Debarpan, Yu, Zemin, Ganapathy, Sriram, Singh, Maneesh
Format Journal Article
LanguageEnglish
Published 11.06.2022
Subjects
Computer Science - Learning
Computer Science - Sound
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Summary:This report describes the system used for detecting COVID-19 positives using three different acoustic modalities, namely speech, breathing, and cough in the second DiCOVA challenge. The proposed system is based on the combination of 4 different approaches, each focusing more on one aspect of the problem, and reaches the blind test AUCs of 86.41, 77.60, and 84.55, in the breathing, cough, and speech tracks, respectively, and the AUC of 85.37 in the fusion of these three tracks.
DOI:10.48550/arxiv.2206.05462