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

Schuller, Bjoern, Steidl, Stefan, Batliner, Anton, Hirschberg, Julia, Burgoon, Judee K, Baird, Alice, Elkins, Aaron, Zhang, Yue, Coutinho, Eduardo ORCID: 0000-0001-5234-1497 and Evanini, Keelan (2016) The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language. In: Interspeech 2016, 2016-9-8 - 2016-9-12, San Francisco, CA, USA.

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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.

Item Type:	Conference or Workshop Item (Unspecified)
Uncontrolled Keywords:	Computational Paralinguistics, Challenge, Deception, Sincerity, Native Language Identification
Depositing User:	Symplectic Admin
Date Deposited:	12 Sep 2016 10:36
Last Modified:	19 Jan 2023 07:30
DOI:	10.21437/Interspeech.2016-129
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3003234