The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests
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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
- 2018MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversationscited by 636
- 2021The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primatescited by 32
- 2017auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networkscited by 16
- 2022Prediction of User Request and Complaint in Spoken Customer-Agent Conversationscited by 3
Built on by
Citing papers per year: 2023: 3; 2024: 3; 2025: 1; 2026: 1.
8 papers.
- 2026Do Audio LLMs Listen or Read? Analyzing and Mitigating Paralinguistic Failures with VoxParadoxcited by 7
- 2023Effect of Attention and Self-Supervised Speech Embeddings on Non-Semantic Speech Taskscited by 4
- 2023Cascaded Cross-Modal Transformer for Request and Complaint Detectioncited by 3
- 2023Towards Generalizable SER: Soft Labeling and Data Augmentation for Modeling Temporal Emotion Shifts in Large-Scale Multilingual Speechcited by 2
- 2024Cascaded Cross-Modal Transformer for Audio-Textual Classificationcited by 2
- 2024Better Spanish Emotion Recognition In-the-wild: Bringing Attention to Deep Spectrum Voice Analysiscited by 1
- 2024The NeurIPS 2023 Machine Learning for Audio Workshop: Affective Audio Benchmarks and Novel Datacited by 0
- 2025EM2LDL: A Multilingual Speech Corpus for Mixed Emotion Recognition through Label Distribution Learningcited by 0
- 2026Do Audio LLMs Listen or Read? Analyzing and Mitigating Paralinguistic Failures with VoxParadox26 May 2026
- 2025EM2LDL: A Multilingual Speech Corpus for Mixed Emotion Recognition through Label Distribution Learning25 Nov 2025
- 2024Better Spanish Emotion Recognition In-the-wild: Bringing Attention to Deep Spectrum Voice Analysis8 Sep 2024
- 2024The NeurIPS 2023 Machine Learning for Audio Workshop: Affective Audio Benchmarks and Novel Data21 Mar 2024
- 2024Cascaded Cross-Modal Transformer for Audio-Textual Classification15 Jan 2024
- 2023Towards Generalizable SER: Soft Labeling and Data Augmentation for Modeling Temporal Emotion Shifts in Large-Scale Multilingual Speech15 Nov 2023
- 2023Effect of Attention and Self-Supervised Speech Embeddings on Non-Semantic Speech Tasks28 Aug 2023
- 2023Cascaded Cross-Modal Transformer for Request and Complaint Detection27 Jul 2023