  The ACM Multimedia 2022 Computational Paralinguistics Challenge addresses
four different problems for the first time in a research competition under
well-defined conditions: In the Vocalisations and Stuttering Sub-Challenges, a
classification on human non-verbal vocalisations and speech has to be made; the
Activity Sub-Challenge aims at beyond-audio human activity recognition from
smartwatch sensor data; and in the Mosquitoes Sub-Challenge, mosquitoes need to
be detected. We describe the Sub-Challenges, baseline feature extraction, and
classifiers based on the usual ComPaRE and BoAW features, the auDeep toolkit,
and deep feature extraction from pre-trained CNNs using the DeepSpectRum
toolkit; in addition, we add end-to-end sequential modelling, and a
log-mel-128-BNN.
