COVID-19 detection from audio: seven grains of salt
Harry Coppock, Lyn Jones, Ivan Kiskin, Björn W. Schuller
Abstract
Digital mass testing for COVID-19 via a mobile phone application could be made possible through machine learning and its ability to identify patterns in data. ] Many of these issues relate to a single question: are the learnt audio representations, which correlate with COVID-19 in the various collected datasets, truly audio biomarkers caused by COVID-19?
Topics & Concepts
Coronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakSalt (chemistry)Environmental scienceVirologyMedicineChemistryInternal medicineOutbreakDiseaseInfectious disease (medical specialty)Physical chemistryMusic and Audio ProcessingMultisensory perception and integrationSpeech and Audio Processing