mlsanityData to 13 Oct 2026

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

arXiv 2102.13468 ↗First posted 24 Feb 2021eess.AS cs.CL cs.LGcited by 32

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Abstract (arXiv)

The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the COVID-19 Cough and COVID-19 Speech Sub-Challenges, a binary classification on COVID-19 infection has to be made based on coughing sounds and speech; in the Escalation SubChallenge, a three-way assessment of the level of escalation in a dialogue is featured; and in the Primates Sub-Challenge, four species vs background need to be classified. We describe the Sub-Challenges, baseline feature extraction, and classifiers based on the 'usual' COMPARE and BoAW features as well as deep unsupervised representation learning using the AuDeep toolkit, and deep feature extraction from pre-trained CNNs using the Deep Spectrum toolkit; in addition, we add deep end-to-end sequential modelling, and partially linguistic analysis.

Key facts. Cited by 32 papers in the map (data through 13 Oct 2026). Builds on 10 of its 33 references that are in the map. First posted on arXiv 24 Feb 2021.

Builds on

10 of 33 references.

References · 10

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  2. 2016Densely Connected Convolutional Networkscited by 6,707
  3. 2019BERTje: A Dutch BERT Modelcited by 109
  4. 2020Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Datacited by 60
  5. 2021Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Datacited by 21
  6. 2017auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networkscited by 16
  7. 2016openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkitcited by 13
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  10. 2021Introducing a Central African Primate Vocalisation Dataset for Automated Species Classificationcited by 4

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2021: 6; 2022: 16; 2023: 5; 2024: 3; 2025: 1; 2026: 1.

32 papers.

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  1. 2022Vocalsound: A Dataset for Improving Human Vocal Sounds Recognitioncited by 62
  2. 2021The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stresscited by 27
  3. 2022The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stresscited by 23
  4. 2021SERAB: A multi-lingual benchmark for speech emotion recognitioncited by 22
  5. 2022KSoF: The Kassel State of Fluency Dataset -- A Therapy Centered Dataset of Stutteringcited by 21
  6. 2021DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Datacited by 12
  7. 2023The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisationcited by 12
  8. 2021COVID-19 Detection in Cough, Breath and Speech using Deep Transfer Learning and Bottleneck Featurescited by 9
  9. 2023The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requestscited by 8
  10. 2021Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Datacited by 6
  11. 2021Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challengescited by 5
  12. 2022The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoescited by 4
20 more
  1. 2025Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluationcited by 4
  2. 2022Going Beyond the Cookie Theft Picture Test: Detecting Cognitive Impairments using Acoustic Featurescited by 3
  3. 2022Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal Burstscited by 3
  4. 2022Interpretability Analysis of Deep Models for COVID-19 Detectioncited by 3
  5. 2024The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognitioncited by 3
  6. 2022TinyM2Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devicescited by 2
  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. 2024WavRx: a Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic Modelcited by 2
  10. 2022COVYT: Introducing the Coronavirus YouTube and TikTok speech dataset featuring the same speakers with and without infectioncited by 1
  11. 2022Visual Transformers for Primates Classification and Covid Detectioncited by 1
  12. 2023On the Impact of Voice Anonymization on Speech Diagnostic Applications: a Case Study on COVID-19 Detectioncited by 1
  13. 2023Privacy Constrained Fairness Estimation for Decision Treescited by 1
  14. 2024Developing a Multi-variate Prediction Model For COVID-19 From Crowd-sourced Respiratory Voice Datacited by 1
  15. 2022Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planetcited by 0
  16. 2022Visualizations of Complex Sequences of Family-Infant Vocalizations Using Bag-of-Audio-Words Approach Based on Wav2vec 2.0 Featurescited by 0
  17. 2022A Temporal-oriented Broadcast ResNet for COVID-19 Detectioncited by 0
  18. 2022Developing a multi-variate prediction model for the detection of COVID-19 from Crowd-sourced Respiratory Voice Datacited by 0
  19. 2023Improving Primate Sounds Classification using Binary Presorting for Deep Learningcited by 0
  20. 2026When Does Quality-Aware Multimodal Fusion Matter? A Leakage-Safe Diagnostic for Decision-Level Dependencecited by 0