Deep Learning against COVID-19: Respiratory Insufficiency Detection in Brazilian Portuguese Speech (2021.findings-acl)
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Edresson Casanova, Lucas Gris, Augusto Camargo, Daniel da Silva, Murilo Gazzola, Ester Sabino, Anna Levin, Arnaldo Candido Jr, Sandra Aluisio, Marcelo Finger
| Challenge: | Respiratory insufficiency is a symptom that requires hospitalization . a dataset was created to analyze COVID-19 patients and a control group . |
| Approach: | They used a dataset to build a Convolution Neural Network to detect respiratory insufficiency using MFCC representations. |
| Outcome: | The proposed method achieves 91.66% accuracy under real-life environmental conditions. |
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