The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring
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 sub-challenge, 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-audio-words for the first time in the challenge series.
Schuller, B; Steidl, S; Batliner, A; Bergelson, E; Krajewski, J; Janott, C; Amatuni, A; Casillas, M; Seidl, A; Soderstrom, M; Warlaumont, AS; Hidalgo, G; Schnieder, S; Heiser, C; Hohenhorst, W; Herzog, M; Schmitt, M; Qian, K; Zhang, Y; Trigeorgis, G; Tzirakis, P; Zafeiriou, S
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