  The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four
different problems for the first time in a research competition under
well-defined conditions: In the COVID-19 Cough and COVID-19 Speech
Sub-Challenges, a binary classification on COVID-19 infection has to be made
based on coughing sounds and speech; in the Escalation SubChallenge, a
three-way assessment of the level of escalation in a dialogue is featured; and
in the Primates Sub-Challenge, four species vs background need to be
classified. We describe the Sub-Challenges, baseline feature extraction, and
classifiers based on the 'usual' COMPARE and BoAW features as well as deep
unsupervised representation learning using the AuDeep toolkit, and deep feature
extraction from pre-trained CNNs using the Deep Spectrum toolkit; in addition,
we add deep end-to-end sequential modelling, and partially linguistic analysis.
