mlsanityData to 7 Oct 2026

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes

arXiv 2205.06799 ↗First posted 13 May 2022cs.SD cs.LG eess.AScited by 4

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Abstract (arXiv)

The ACM Multimedia 2022 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the Vocalisations and Stuttering Sub-Challenges, a classification on human non-verbal vocalisations and speech has to be made; the Activity Sub-Challenge aims at beyond-audio human activity recognition from smartwatch sensor data; and in the Mosquitoes Sub-Challenge, mosquitoes need to be detected. We describe the Sub-Challenges, baseline feature extraction, and classifiers based on the usual ComPaRE and BoAW features, the auDeep toolkit, and deep feature extraction from pre-trained CNNs using the DeepSpectRum toolkit; in addition, we add end-to-end sequential modelling, and a log-mel-128-BNN.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 9 of its 38 references that are in the map. First posted on arXiv 13 May 2022.

Builds on

9 of 38 references.

References · 9

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  2. 2021The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primatescited by 32
  3. 2019A Framework for the Robust Evaluation of Sound Event Detectioncited by 28
  4. 2022KSoF: The Kassel State of Fluency Dataset -- A Therapy Centered Dataset of Stutteringcited by 21
  5. 2017auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networkscited by 16
  6. 2021HumBugDB: A Large-scale Acoustic Mosquito Datasetcited by 15
  7. 2016openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkitcited by 13
  8. 2021DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Datacited by 12
  9. 2020Towards Automated Assessment of Stuttering and Stuttering Therapycited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 0; 2025: 0; 2026: 2.

4 papers.

  1. 2023Advancing Stuttering Detection via Data Augmentation, Class-Balanced Loss and Multi-Contextual Deep Learningcited by 5
  2. 2023Stuttering Detection Using Speaker Representations and Self-supervised Contextual Embeddingscited by 4
  3. 2026Virtual Speech Therapist: A Clinician-in-the-Loop AI Speech Therapy Agent for Personalized and Supervised Therapycited by 0
  4. 2026SpeechDx: A Multi-Task Benchmark for Clinical Speech AIcited by 0