The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds and Orca Activity

Publication information:

Schuller, B., Batliner, A., Bergler, C., Pokorny, F., Krajewski, J., Cychosz, M., Vollman, R., Roelen, S.-D., Schnieder, S., Bergelson, E., Cristia, A., Seidl, A., Warlaumont, A. S., Yankowitz, L., Nöth, E., Amiriparian, S., Hantke, S., & Schmitt, M. (2019). The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds and Orca Activity. In INTERSPEECH.

Abstract

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.