The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests
Björn W. Schuller
A. Batliner
Shahin Amiriparian
Alexander Barnhill
Maurice Gerczuk
Andreas Triantafyllopoulos
Alice Baird
Panagiotis Tzirakis
Chris Gagne
Alan S. Cowen
N. Lacković
Marie-José Caraty
Claude Montacié

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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