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arXiv · 2304.14882

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

Björn W. Schuller·Anton Batliner·Shahin Amiriparian·Alexander Barnhill·Maurice Gerczuk·Andreas Triantafyllopoulos·Alice Baird·Panagiotis Tzirakis·Chris Gagne·Alan S. Cowen·Nikola Lackovic·Marie-José Caraty·Claude Montacié
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Abstract

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.

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Björn W. Schuller, Anton Batliner, Shahin Amiriparian, Alexander Barnhill, Maurice Gerczuk, Andreas Triantafyllopoulos, Alice Baird, Panagiotis Tzirakis, Chris Gagne, Alan S. Cowen, Nikola Lackovic, Marie-José Caraty, Claude Montacié. 2023-04-28. The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests. https://arxiv.org/abs/2304.14882

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