The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring

Schuller, Björn; Steidl, Stefan; Batliner, Anton; Bergelson, Elika; Krajewski, Jarek; Janott, Christoph; Amatuni, Andrei; Casillas, Marisa; Seidl, Amanda; Soderstrom, Melanie; Warlaumont, Anne S.; Hidalgo, Guillermo; Schnieder, Sebastian; Heiser, Clemens; Hohenhorst, Winfried; Herzog, Michael; Schmitt, Maximilian; Qian, Kun; Zhang, Yue; Trigeorgis, George; Tzirakis, Panagiotis; Zafeiriou, Stefanos

doi:10.21437/Interspeech.2017-43

The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring

Björn Schuller, Stefan Steidl, Anton Batliner, Elika Bergelson, Jarek Krajewski, Christoph Janott, Andrei Amatuni, Marisa Casillas, Amanda Seidl, Melanie Soderstrom, Anne S. Warlaumont, Guillermo Hidalgo, Sebastian Schnieder, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Maximilian Schmitt, Kun Qian, Yue Zhang, George Trigeorgis, Panagiotis Tzirakis, Stefanos Zafeiriou

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.