The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks.
2020
The INTERSPEECH 2020 Computational Paralinguistics Challenge addresses three different problems for the first time in a
research competition under well-defined conditions: In the Elderly Emotion Sub-Challenge, arousal and valence in the speech
of elderly individuals have to be modelled as a 3-class problem;
in the Breathing Sub-Challenge, breathing has to be assessed as a
regression problem; and in the Mask Sub-Challenge, speech without and with a surgical mask has to be told apart. 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 partially add deep
end-to-end sequential modelling, and, for the first time in the
challenge, linguistic analysis
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