The INTERSPEECH 2019 computational paralinguistics challenge: Styrian dialects, continuous sleepiness, baby sounds & Orca activity
The INTERSPEECH 2019 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the Styrian Dialects Sub-Challenge, three types of Austrian-German dialects have to be classified; in the Continuous Sleepiness Sub-Challenge, the sleepiness of a speaker has to be assessed as regression problem; in the Baby Sound Sub-Challenge, five types of infant sounds have to be classified; and in the Orca Activity Sub-Challenge, orca sounds have to be detected. We describe the Sub-Challenges and baseline feature extraction and classifiers, which include data-learnt (supervised) feature representations by the 'usual' ComParE and BoAW features, and deep unsupervised representation learning using the AUDEEP toolkit.
Schuller, BW; Batliner, A; Bergler, C; Pokorny, FB; Krajewski, J; Cychosz, M; Vollmann, R; Roelen, SD; Schnieder, S; Bergelson, E; Cristia, A; Seidl, A; Warlaumont, AS; Yankowitz, L; Nöth, E; Amiriparian, S; Hantke, S; Schmitt, M
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