Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 From Audio Challenges
Several machine learning-based COVID-19 classifiers exploiting vocal biomarkers of COVID-19 has been proposed recently as digital mass testing methods. Although these classifiers have shown strong performances on the datasets on which they are trained, their methodological adaptation to new datasets...
| Päätekijät: | , , , , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
Frontiers Media S.A.
2022-07-01
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| Sarja: | Frontiers in Digital Health |
| Aiheet: | |
| Linkit: | https://www.frontiersin.org/articles/10.3389/fdgth.2022.789980/full |