mlsanityData to 7 Oct 2026

The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests

arXiv 2304.14882 ↗First posted 28 Apr 2023cs.SD cs.LG eess.AScited by 8

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Abstract (arXiv)

The ACM Multimedia 2023 Computational Paralinguistics Challenge addresses two different problems for the first time in a research competition under well-defined conditions: In the Emotion Share Sub-Challenge, a regression on speech has to be made; and in the Requests Sub-Challenges, requests and complaints need to be detected. We describe the Sub-Challenges, baseline feature extraction, and classifiers based on the usual ComPaRE features, the auDeep toolkit, and deep feature extraction from pre-trained CNNs using the DeepSpectRum toolkit; in addition, wav2vec2 models are used.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 4 of its 29 references that are in the map. First posted on arXiv 28 Apr 2023.

Builds on

4 of 29 references.

References · 4

  1. 2018MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversationscited by 636
  2. 2021The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primatescited by 32
  3. 2017auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networkscited by 16
  4. 2022Prediction of User Request and Complaint in Spoken Customer-Agent Conversationscited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 3; 2025: 1; 2026: 1.

8 papers.