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

arXiv: https://arxiv.org/abs/2304.14882 · HTML: https://mlsanity.com/paper/2304.14882/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 29 references that are in the map.
- First posted on arXiv 28 Apr 2023.

## Builds on (most cited first, 4 of 4)

- [MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations](https://mlsanity.com/paper/1810.02508/) (2018)
- [The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates](https://mlsanity.com/paper/2102.13468/) (2021)
- [auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks](https://mlsanity.com/paper/1712.04382/) (2017)
- [Prediction of User Request and Complaint in Spoken Customer-Agent Conversations](https://mlsanity.com/paper/2208.10249/) (2022)

## Built on by (most cited first, 8 of 8)

- [Do Audio LLMs Listen or Read? Analyzing and Mitigating Paralinguistic Failures with VoxParadox](https://mlsanity.com/paper/2605.27772/) (2026)
- [Effect of Attention and Self-Supervised Speech Embeddings on Non-Semantic Speech Tasks](https://mlsanity.com/paper/2308.14359/) (2023)
- [Cascaded Cross-Modal Transformer for Request and Complaint Detection](https://mlsanity.com/paper/2307.15097/) (2023)
- [Towards Generalizable SER: Soft Labeling and Data Augmentation for Modeling Temporal Emotion Shifts in Large-Scale Multilingual Speech](https://mlsanity.com/paper/2311.08607/) (2023)
- [Cascaded Cross-Modal Transformer for Audio-Textual Classification](https://mlsanity.com/paper/2401.07575/) (2024)
- [Better Spanish Emotion Recognition In-the-wild: Bringing Attention to Deep Spectrum Voice Analysis](https://mlsanity.com/paper/2409.05148/) (2024)
- [The NeurIPS 2023 Machine Learning for Audio Workshop: Affective Audio Benchmarks and Novel Data](https://mlsanity.com/paper/2403.14048/) (2024)
- [EM2LDL: A Multilingual Speech Corpus for Mixed Emotion Recognition through Label Distribution Learning](https://mlsanity.com/paper/2511.20106/) (2025)

## 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.