The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language

Björn Schuller, Stefan Steidl, Anton Batliner, Julia Hirschberg, Judee K. Burgoon, Alice Baird, Aaron Elkins, Yue Zhang, Eduardo Coutinho, Keelan Evanini

The INTERSPEECH 2016 Computational Paralinguistics Challenge addresses three different problems for the first time in research competition under well-defined conditions: classification of deceptive vs. non-deceptive speech, the estimation of the degree of sincerity, and the identification of the native language out of eleven L1 classes of English L2 speakers. In this paper, we describe these sub-challenges, their conditions, the baseline feature extraction and classifiers, and the resulting baselines, as provided to the participants.

doi: 10.21437/Interspeech.2016-129

Cite as: Schuller, B., Steidl, S., Batliner, A., Hirschberg, J., Burgoon, J.K., Baird, A., Elkins, A., Zhang, Y., Coutinho, E., Evanini, K. (2016) The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language. Proc. Interspeech 2016, 2001-2005, doi: 10.21437/Interspeech.2016-129

@inproceedings{schuller16_interspeech,
  author={Björn Schuller and Stefan Steidl and Anton Batliner and Julia Hirschberg and Judee K. Burgoon and Alice Baird and Aaron Elkins and Yue Zhang and Eduardo Coutinho and Keelan Evanini},
  title={{The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language}},
  year=2016,
  booktitle={Proc. Interspeech 2016},
  pages={2001--2005},
  doi={10.21437/Interspeech.2016-129}
}