mlsanityData to 7 Oct 2026

Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough

arXiv 2107.10716 ↗First posted 12 Jul 2021eess.SP cs.LG cs.SDcited by 7

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Abstract (arXiv)

The COVID-19 pandemic created a significant interest and demand for infection detection and monitoring solutions. In this paper we propose a machine learning method to quickly triage COVID-19 using recordings made on consumer devices. The approach combines signal processing methods with fine-tuned deep learning networks and provides methods for signal denoising, cough detection and classification. We have also developed and deployed a mobile application that uses symptoms checker together with voice, breath and cough signals to detect COVID-19 infection. The application showed robust performance on both open sourced datasets and on the noisy data collected during beta testing by the end users.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 18 of its 64 references that are in the map. First posted on arXiv 12 Jul 2021.

Builds on

18 of 64 references.

References · 18

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  3. 2018MobileNetV2: Inverted Residuals and Linear Bottleneckscited by 4,773
  4. 2019Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shiftcited by 1,274
  5. 2016CNN Architectures for Large-Scale Audio Classificationcited by 701
  6. 2020FSD50K: An Open Dataset of Human-Labeled Sound Eventscited by 339
  7. 2020Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Datacited by 60
  8. 2020The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithmscited by 59
  9. 2020Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosiscited by 58
  10. 2020AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an Appcited by 48
  11. 2018General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baselinecited by 30
  12. 2020Cough Against COVID: Evidence of COVID-19 Signature in Cough Soundscited by 24
6 more
  1. 2019Learning Sound Event Classifiers from Web Audio with Noisy Labelscited by 22
  2. 2020An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxietycited by 11
  3. 2020Computer Vision For COVID-19 Control: A Surveycited by 9
  4. 2020Can Machine Learning Be Used to Recognize and Diagnose Coughs?cited by 8
  5. 2020Assessment of Audio Features for Automatic Cough Detectioncited by 4
  6. 2021CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learningcited by 1

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Cited by year

Citing papers per year: 2021: 1; 2022: 4; 2023: 2.

7 papers.

  1. 2023Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infectioncited by 22
  2. 2022Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkerscited by 12
  3. 2022COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformerscited by 4
  4. 2022A large-scale and PCR-referenced vocal audio dataset for COVID-19cited by 4
  5. 2022A Summary of the ComParE COVID-19 Challengescited by 2
  6. 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
  7. 2023COVID-19 Detection System: A Comparative Analysis of System Performance Based on Acoustic Features of Cough Audio Signalscited by 0