ConvNet with MFCC features and data augmentation classifies cough sounds for COVID-19 with 87.07 AUC on the DiCOVA 2021 blind test, outperforming the baseline by 23%.
Report of the who-china joint mission on coronavirus disease 2019 (covid-19)
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COVID-19 Diagnosis from Cough Acoustics using ConvNets and Data Augmentation
ConvNet with MFCC features and data augmentation classifies cough sounds for COVID-19 with 87.07 AUC on the DiCOVA 2021 blind test, outperforming the baseline by 23%.