mlsanityData to 14 Oct 2026

DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics

arXiv 2103.09148 ↗First posted 16 Mar 2021eess.AS cs.SDcited by 21

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Abstract (arXiv)

The DiCOVA challenge aims at accelerating research in diagnosing COVID-19 using acoustics (DiCOVA), a topic at the intersection of speech and audio processing, respiratory health diagnosis, and machine learning. This challenge is an open call for researchers to analyze a dataset of sound recordings collected from COVID-19 infected and non-COVID-19 individuals for a two-class classification. These recordings were collected via crowdsourcing from multiple countries, through a website application. The challenge features two tracks, one focusing on cough sounds, and the other on using a collection of breath, sustained vowel phonation, and number counting speech recordings. In this paper, we introduce the challenge and provide a detailed description of the task, and present a baseline system for the task.

Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Mar 2021.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 5; 2022: 8; 2023: 2; 2024: 1; 2025: 4; 2026: 1.

21 papers.

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  1. 2023Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infectioncited by 22
  2. 2021COVID-19 Detection in Cough, Breath and Speech using Deep Transfer Learning and Bottleneck Featurescited by 9
  3. 2021Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challengescited by 5
  4. 2025Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluationcited by 4
  5. 2021Audio feature ranking for sound-based COVID-19 patient detectioncited by 3
  6. 2022Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Coughcited by 3
  7. 2022A Summary of the ComParE COVID-19 Challengescited by 2
  8. 2022Automatic Tuberculosis and COVID-19 cough classification using deep learningcited by 2
  9. 2022Analyzing the impact of SARS-CoV-2 variants on respiratory sound signalscited by 2
  10. 2021DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual Network for the DiCOVA Challenge 2021cited by 1
  11. 2022COVYT: Introducing the Coronavirus YouTube and TikTok speech dataset featuring the same speakers with and without infectioncited by 1
  12. 2024Multimodal Audio-based Disease Prediction with Transformer-based Hierarchical Fusion Networkcited by 1
9 more
  1. 2025ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challengecited by 1
  2. 2021EIHW-MTG DiCOVA 2021 Challenge System Reportcited by 0
  3. 2022Using a Novel COVID-19 Calculator to Measure Positive U.S. Socio-Economic Impact of a COVID-19 Pre-Screening Solution (AI/ML)cited by 0
  4. 2022Fused Audio Instance and Representation for Respiratory Disease Detectioncited by 0
  5. 2022Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021cited by 0
  6. 2023EDAC: Efficient Deployment of Audio Classification Models For COVID-19 Detectioncited by 0
  7. 2025Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognitioncited by 0
  8. 2025Sound Signal Synthesis with Auxiliary Classifier GAN, COVID-19 cough as an examplecited by 0
  9. 2026SpeechDx: A Multi-Task Benchmark for Clinical Speech AIcited by 0