Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound

Association for Computing Machinery (ACM) via YouTube Direct link

Introduction

1 of 15

1 of 15

Introduction

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Classroom Contents

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound

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  1. 1 Introduction
  2. 2 Audio Signals for COVID-19
  3. 3 Crowdsourcing Data: Collection
  4. 4 Demographics: Country & Age
  5. 5 Symptom Correlation: Broad picture
  6. 6 Symptom Correlation: COVID-19 specific
  7. 7 COVID-19 Positive Detection
  8. 8 Tasks & Data
  9. 9 Global Features
  10. 10 Frame-level Features
  11. 11 Feature Types
  12. 12 Experimental Setup
  13. 13 Initial Findings...
  14. 14 with Data Augmentation
  15. 15 Conclusion

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