The INTERSPEECH 2017 computational paralinguistics challenge:
Addressee, cold & snoring
Schuller, B., Steidl, S., Batliner, A., Bergelson, E., Krajewski, J., Janott, C., Amatuni, A., Casillas, M., Seidl, A., Soderstrom, M., Warlaumont, A. S., Hidalgo, G., Schnieder, S., Heiser, C., Hohenhorst, W., Herzog, M., Schmitt, M., Qian, K., Zhang, Y., Trigeorgis, G. and 2 moreSchuller, B., Steidl, S., Batliner, A., Bergelson, E., Krajewski, J., Janott, C., Amatuni, A., Casillas, M., Seidl, A., Soderstrom, M., Warlaumont, A. S., Hidalgo, G., Schnieder, S., Heiser, C., Hohenhorst, W., Herzog, M., Schmitt, M., Qian, K., Zhang, Y., Trigeorgis, G., Tzirakis, P., & Zafeiriou, S.
(2017). The INTERSPEECH 2017 computational paralinguistics challenge: Addressee, cold & snoring. In
Proceedings of Interspeech 2017 (pp. 3442-3446). doi:10.21437/Interspeech.2017-43.
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
Publication type
Proceedings paper
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