@inproceedings{
 title = {The INTERSPEECH 2016 computational paralinguistics challenge: Deception, sincerity & native language},
 type = {inproceedings},
 year = {2016},
 keywords = {article,conference},
 pages = {2001-2005},
 volume = {08-12-Sept},
 websites = {http://www.isca-speech.org/archive/Interspeech_2016/abstracts/0129.html http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2%255C&SrcApp=PARTNER_APP%255C&SrcAuth=LinksAMR%255C&KeyUT=WOS:000409394401102%255C&DestLinkType=FullRecord%255C&DestAp},
 month = {9},
 day = {8},
 id = {3dea361b-8f6e-3095-a174-b9abd80cf055},
 created = {2024-08-09T12:19:56.089Z},
 file_attached = {true},
 profile_id = {ffa9027c-806a-3827-93a1-02c42eb146a1},
 group_id = {da2a8249-fdf4-3036-ba56-7358198a1600},
 last_modified = {2024-08-09T12:20:49.398Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {schuller2016thelanguage},
 source_type = {CONF},
 private_publication = {false},
 abstract = {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.},
 bibtype = {inproceedings},
 author = {Schuller, Björn and Steidl, Stefan and Batliner, Anton and Hirschberg, Julia and Burgoon, Judee K. and Baird, Alice and Elkins, Aaron and Zhang, Yue and Coutinho, Eduardo and Evanini, Keelan},
 doi = {10.21437/Interspeech.2016-129},
 booktitle = {Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH}
}

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