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Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis

arXiv 2005.10548 ↗First posted 21 May 2020eess.AS cs.SDcited by 58

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Abstract (arXiv)

The COVID-19 pandemic presents global challenges transcending boundaries of country, race, religion, and economy. The current gold standard method for COVID-19 detection is the reverse transcription polymerase chain reaction (RT-PCR) testing. However, this method is expensive, time-consuming, and violates social distancing. Also, as the pandemic is expected to stay for a while, there is a need for an alternate diagnosis tool which overcomes these limitations, and is deployable at a large scale. The prominent symptoms of COVID-19 include cough and breathing difficulties. We foresee that respiratory sounds, when analyzed using machine learning techniques, can provide useful insights, enabling the design of a diagnostic tool. Towards this, the paper presents an early effort in creating (and analyzing) a database, called Coswara, of respiratory sounds, namely, cough, breath, and voice. The sound samples are collected via worldwide crowdsourcing using a website application. The curated dataset is released as open access. As the pandemic is evolving, the data collection and analysis is a work in progress. We believe that insights from analysis of Coswara can be effective in enabling sound based technology solutions for point-of-care diagnosis of respiratory infection, and in the near future this can help to diagnose COVID-19.

Key facts. Cited by 58 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 May 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 17; 2022: 16; 2023: 8; 2024: 9; 2025: 5; 2026: 3.

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  1. 2024FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMscited by 118
  2. 2023Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infectioncited by 22
  3. 2021Automatic Cough Classification for Tuberculosis Screening in a Real-World Environmentcited by 17
  4. 2024MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generationcited by 17
  5. 2021Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classificationcited by 16
  6. 2021A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levelscited by 12
  7. 2022Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkerscited by 12
  8. 2021Biometrics in the Era of COVID-19: Challenges and Opportunitiescited by 11
  9. 2021COVID-19 Detection in Cough, Breath and Speech using Deep Transfer Learning and Bottleneck Featurescited by 9
  10. 2026HEARTS: Benchmarking LLM Reasoning on Health Time Seriescited by 8
  11. 2021Virufy: A Multi-Branch Deep Learning Network for Automated Detection of COVID-19cited by 7
  12. 2021From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniquescited by 7
38 more
  1. 2021Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Coughcited by 7
  2. 2022A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classificationcited by 7
  3. 2023Choose your Data Wisely: A Framework for Semantic Counterfactualscited by 7
  4. 2021Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Datacited by 6
  5. 2021Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challengescited by 5
  6. 2023Towards using Cough for Respiratory Disease Diagnosis by leveraging Artificial Intelligence: A Surveycited by 5
  7. 2023Transfer Learning to Detect COVID-19 Coughs with Incremental Addition of Patient Coughs to Healthy People's Cough Detection Modelscited by 5
  8. 2024TinyM2Net-V3: Memory-Aware Compressed Multimodal Deep Neural Networks for Sustainable Edge Deploymentcited by 4
  9. 2025Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluationcited by 4
  10. 2021Audio feature ranking for sound-based COVID-19 patient detectioncited by 3
  11. 2022Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Coughcited by 3
  12. 2023Medical records condensation: a roadmap towards healthcare data democratisationcited by 3
  13. 2021End-2-End COVID-19 Detection from Breath & Cough Audiocited by 2
  14. 2021Deep Neural Network Based Respiratory Pathology Classification Using Cough Soundscited by 2
  15. 2022TinyM2Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devicescited by 2
  16. 2022A Summary of the ComParE COVID-19 Challengescited by 2
  17. 2022Automatic Tuberculosis and COVID-19 cough classification using deep learningcited by 2
  18. 2022L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from Smartphone Datacited by 2
  19. 2022Analyzing the impact of SARS-CoV-2 variants on respiratory sound signalscited by 2
  20. 2023Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domainscited by 2
  21. 2025Cough Classification using Few-Shot Learningcited by 2
  22. 2022COVYT: Introducing the Coronavirus YouTube and TikTok speech dataset featuring the same speakers with and without infectioncited by 1
  23. 2024Developing a Multi-variate Prediction Model For COVID-19 From Crowd-sourced Respiratory Voice Datacited by 1
  24. 2024Towards reliable respiratory disease diagnosis based on cough sounds and vision transformerscited by 1
  25. 2024Multimodal Audio-based Disease Prediction with Transformer-based Hierarchical Fusion Networkcited by 1
  26. 2021Impact of data-splits on generalization: Identifying COVID-19 from cough and contextcited by 0
  27. 2021Fruit-CoV: An Efficient Vision-based Framework for Speedy Detection and Diagnosis of SARS-CoV-2 Infections Through Recorded Cough Soundscited by 0
  28. 2021Telehealthcare and Telepathology in Pandemic: A Noninvasive, Low-Cost Micro-Invasive and Multimodal Real-Time Online Application for Early Diagnosis of COVID-19 Infectioncited by 0
  29. 2021An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classificationcited by 0
  30. 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
  31. 2022On the pragmatism of using binary classifiers over data intensive neural network classifiers for detection of COVID-19 from voicecited by 0
  32. 2022Fused Audio Instance and Representation for Respiratory Disease Detectioncited by 0
  33. 2022Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptomscited by 0
  34. 2022Interpretable Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detectioncited by 0
  35. 2022Risk of re-identification for shared clinical speech recordingscited by 0
  36. 2022COVID-Net Assistant: A Deep Learning-Driven Virtual Assistant for COVID-19 Symptom Prediction and Recommendationcited by 0
  37. 2023COVID-19 Detection System: A Comparative Analysis of System Performance Based on Acoustic Features of Cough Audio Signalscited by 0
  38. 2023EDAC: Efficient Deployment of Audio Classification Models For COVID-19 Detectioncited by 0

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