The INTERSPEECH 2018 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the Atypical Affect Sub-Challenge, four basic emotions annotated in the speech of handicapped subjects have to be classified; in the Self-Assessed Affect Sub-Challenge, valence scores given by the speakers themselves are used for a three-class classification problem; in the Crying Sub-Challenge, three types of infant vocalisations have to be told apart; and in the Heart Beats Sub-Challenge, three different types of heart beats have to be determined. We describe the Sub-Challenges, their conditions and baseline feature extraction and classifiers, which include data-learnt (supervised) feature representations by end-to-end learning, the ‘usual’ ComParE and BoAW features and deep unsupervised representation learning using the AUDEEP toolkit for the first time in the challenge series.
Cite as: Schuller, B., Steidl, S., Batliner, A., Marschik, P.B., Baumeister, H., Dong, F., Hantke, S., Pokorny, F.B., Rathner, E.-M., Bartl-Pokorny, K.D., Einspieler, C., Zhang, D., Baird, A., Amiriparian, S., Qian, K., Ren, Z., Schmitt, M., Tzirakis, P., Zafeiriou, S. (2018) The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats. Proc. Interspeech 2018, 122-126, doi: 10.21437/Interspeech.2018-51
@inproceedings{schuller18_interspeech, author={Björn Schuller and Stefan Steidl and Anton Batliner and Peter B. Marschik and Harald Baumeister and Fengquan Dong and Simone Hantke and Florian B. Pokorny and Eva-Maria Rathner and Katrin D. Bartl-Pokorny and Christa Einspieler and Dajie Zhang and Alice Baird and Shahin Amiriparian and Kun Qian and Zhao Ren and Maximilian Schmitt and Panagiotis Tzirakis and Stefanos Zafeiriou}, title={{The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats}}, year=2018, booktitle={Proc. Interspeech 2018}, pages={122--126}, doi={10.21437/Interspeech.2018-51} }