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The INTERSPEECH 2017 computational paralinguistics challenge: Addressee, cold & snoring

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Casillas,  Marisa
Language and Cognition Department, MPI for Psycholinguistics, Max Planck Society;

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Citation

Schuller, B., Steidl, S., Batliner, A., Bergelson, E., Krajewski, J., Janott, C., et al. (2017). The INTERSPEECH 2017 computational paralinguistics challenge: Addressee, cold & snoring. In Proceedings of Interspeech 2017 (pp. 3442-3446). doi:10.21437/Interspeech.2017-43.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002C-A619-8
Abstract
The INTERSPEECH 2017 Computational Paralinguistics Challenge addresses three different problems for the first time in research competition under well-defined conditions: In the Addressee sub-challenge, it has to be determined whether speech produced by an adult is directed towards another adult or towards a child; in the Cold sub-challenge, speech under cold has to be told apart from ‘healthy’ speech; and in the Snoring subchallenge, four different types of snoring have to be classified. In this paper, we describe these sub-challenges, their conditions, and the baseline feature extraction and classifiers, which include data-learnt feature representations by end-to-end learning with convolutional and recurrent neural networks, and bag-of-audiowords for the first time in the challenge series