mlsanityData to 7 Oct 2026

Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challenges

arXiv 2107.14549 ↗First posted 30 Jul 2021cs.SD cs.LG eess.AScited by 5

Not on the map. Why?

Abstract (arXiv)

We report on cross-running the recent COVID-19 Identification ResNet (CIdeR) on the two Interspeech 2021 COVID-19 diagnosis from cough and speech audio challenges: ComParE and DiCOVA. CIdeR is an end-to-end deep learning neural network originally designed to classify whether an individual is COVID-positive or COVID-negative based on coughing and breathing audio recordings from a published crowdsourced dataset. In the current study, we demonstrate the potential of CIdeR at binary COVID-19 diagnosis from both the COVID-19 Cough and Speech Sub-Challenges of INTERSPEECH 2021, ComParE and DiCOVA. CIdeR achieves significant improvements over several baselines.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 12 of its 35 references that are in the map. First posted on arXiv 30 Jul 2021.

Builds on

12 of 35 references.

References · 12

  1. 2015Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shiftcited by 6,979
  2. 2020Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Datacited by 60
  3. 2020The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithmscited by 59
  4. 2020Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosiscited by 58
  5. 2020AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an Appcited by 48
  6. 2021The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primatescited by 32
  7. 2020Cough Against COVID: Evidence of COVID-19 Signature in Cough Soundscited by 24
  8. 2021Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Datacited by 21
  9. 2021DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acousticscited by 21
  10. 2020Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networkscited by 13
  11. 2020The voice of COVID-19: Acoustic correlates of infectioncited by 10
  12. 2020COVID-19 Patient Detection from Telephone Quality Speech Datacited by 5

Built on by

Cited by year

Citing papers per year: 2022: 2; 2023: 1; 2024: 1; 2025: 1.

5 papers.

  1. 2022A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairnesscited by 13
  2. 2024Explainable Artificial Intelligence for Medical Applications: A Reviewcited by 12
  3. 2025Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluationcited by 4
  4. 2022A Summary of the ComParE COVID-19 Challengescited by 2
  5. 2023On the Impact of Voice Anonymization on Speech Diagnostic Applications: a Case Study on COVID-19 Detectioncited by 1