  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.
