The INTERSPEECH 2018 computational paralinguistics challenge : atypical & self-assessed affect, crying & heart beats
Schuller, Björn W.; Steidl, Stefan; Batliner, Anton; Marschik, Peter B.; Baumeister, Harald; Dong, Fengquan; Hantke, Simone; Pokorny, Florian B.; Rathner, Eva-Maria; Bartl-Pokorny, Katrin D.; Einspieler, Christa; Zhang, Dajie; Baird, Alice; Amiriparian, Shahin; Qian, Kun; Ren, Zhao; Schmitt, Maximilian; Tzirakis, Panagiotis; Zafeiriou, Stefanos (2018-09-06)
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, September 2). The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical and Self-Assessed Affect, Crying and Heart Beats. Interspeech 2018. Interspeech 2018. https://doi.org/10.21437/interspeech.2018-51
© The Authors 2018.
https://rightsstatements.org/vocab/InC/1.0/
https://urn.fi/URN:NBN:fi-fe202003037022
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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.
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