1. The INTERSPEECH 2018 computational paralinguistics challenge:atypical & self-assessed affect, crying & heart beats
- Author
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Schuller, B. W. (Björn W.), Steidl, S. (Stefan), Batliner, A. (Anton), Marschik, P. B. (Peter B.), Baumeister, H. (Harald), Dong, F. (Fengquan), Hantke, S. (Simone), Pokorny, F. B. (Florian B.), Rathner, E.-M. (Eva-Maria), Bartl-Pokorny, K. D. (Katrin D.), Einspieler, C. (Christa), Zhang, D. (Dajie), Baird, A. (Alice), Amiriparian, S. (Shahin), Qian, K. (Kun), Ren, Z. (Zhao), Schmitt, M. (Maximilian), Tzirakis, P. (Panagiotis), and Zafeiriou, S. (Stefanos)
- Abstract
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.
- Published
- 2018