mlsanityData to 7 Oct 2026

Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection

arXiv 2305.12741 ↗First posted 22 May 2023eess.AS cs.LG cs.SDcited by 22

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Abstract (arXiv)

This paper presents the Coswara dataset, a dataset containing diverse set of respiratory sounds and rich meta-data, recorded between April-2020 and February-2022 from 2635 individuals (1819 SARS-CoV-2 negative, 674 positive, and 142 recovered subjects). The respiratory sounds contained nine sound categories associated with variants of breathing, cough and speech. The rich metadata contained demographic information associated with age, gender and geographic location, as well as the health information relating to the symptoms, pre-existing respiratory ailments, comorbidity and SARS-CoV-2 test status. Our study is the first of its kind to manually annotate the audio quality of the entire dataset (amounting to 65~hours) through manual listening. The paper summarizes the data collection procedure, demographic, symptoms and audio data information. A COVID-19 classifier based on bi-directional long short-term (BLSTM) architecture, is trained and evaluated on the different population sub-groups contained in the dataset to understand the bias/fairness of the model. This enabled the analysis of the impact of gender, geographic location, date of recording, and language proficiency on the COVID-19 detection performance.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). Builds on 12 of its 38 references that are in the map. First posted on arXiv 22 May 2023.

Builds on

12 of 38 references.

References · 12

  1. 2020The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithmscited by 59
  2. 2020Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosiscited by 58
  3. 2021DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acousticscited by 21
  4. 2021Sounds of COVID-19: exploring realistic performance of audio-based digital testingcited by 20
  5. 2020Pay Attention to the cough: Early Diagnosis of COVID-19 using Interpretable Symptoms Embeddings with Cough Sound Signal Processingcited by 13
  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. 2021COVID-19 Detection in Cough, Breath and Speech using Deep Transfer Learning and Bottleneck Featurescited by 9
  8. 2021IATos: AI-powered pre-screening tool for COVID-19 from cough audio samplescited by 9
  9. 2021The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acousticscited by 8
  10. 2021Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Coughcited by 7
  11. 2021Towards sound based testing of COVID-19 -- Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challengecited by 4
  12. 2022Analyzing the impact of SARS-CoV-2 variants on respiratory sound signalscited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 6; 2025: 5; 2026: 10.

22 papers.

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  1. 2025Multi-modal Time Series Analysis: A Tutorial and Surveycited by 24
  2. 2024Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarkingcited by 23
  3. 2024HeAR -- Health Acoustic Representationscited by 15
  4. 2024RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Predictioncited by 10
  5. 2025Keeping Medical AI Healthy and Trustworthy: A Review of Detection and Correction Methods for System Degradationcited by 6
  6. 2023Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signalscited by 2
  7. 2024Voice EHR: Introducing Multimodal Audio Data for Healthcited by 2
  8. 2024Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approachcited by 1
  9. 2025XAI-Driven Spectral Analysis of Cough Sounds for Respiratory Disease Characterizationcited by 1
  10. 2026Synthetic Data Augmentation for Medical Audio Classification: A Preliminary Evaluationcited by 1
  11. 2024Wireless Earphone-based Real-Time Monitoring of Breathing Exercises: A Deep Learning Approachcited by 0
  12. 2025A XAI-based Framework for Frequency Subband Characterization of Cough Spectrograms in Chronic Respiratory Diseasecited by 0
10 more
  1. 2025Fine-tuning Pre-trained Audio Models for COVID-19 Detection: A Technical Reportcited by 0
  2. 2026RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneitycited by 0
  3. 2026RAMoEA-QA: Hierarchical Specialization for Robust Respiratory Audio Question Answeringcited by 0
  4. 2026Adaptive Discovery of Interpretable Audio Attributes with Multimodal LLMs for Low-Resource Classificationcited by 0
  5. 2026Cough activity detection for automatic tuberculosis screeningcited by 0
  6. 2026MultiSense-Pneumo: A Multimodal Learning Framework for Pneumonia Screening in Resource-Constrained Settingscited by 0
  7. 2026Beyond Classification: A Cough Regression Benchmark for Respiratory Acoustic Foundation Modelscited by 0
  8. 2026SpeechDx: A Multi-Task Benchmark for Clinical Speech AIcited by 0
  9. 2026Zero-Shot Respiratory Sound Classification through LLM-Augmented Audio-Text Alignmentcited by 0
  10. 2026BreathGRU: A Novel Semi-Supervised Bidirectional Gated Recurrent Unit Framework for Speech and Breath Segmentation for Respiratory Audiocited by 0