Affective and Behavioural Computing: Lessons Learnt from the First Computational Paralinguistics Challenge

Abstract : In this article, we review the INTERSPEECH 2013 Computational Par-alinguistics ChallengE (ComParE)-the first of its kind-in light of the recent developments in affective and behavioural computing. The impact of the first ComParE installment is manifold: first, it featured various new recognition tasks including social signals such as laughter and fillers, conflict in dyadic group discussions, and atypical communication due to pervasive developmental disorders, as well as enacted emotion; second, it marked the onset of the ComParE, subsuming all tasks investigated hitherto within the realm of computational paralinguistics; finally, besides providing a unified test-bed under well-defined and strictly comparable conditions, we present the definite feature vector used for computation of the baselines, thus laying the foundation for a successful series of follow-up Challenges. Starting with a review of the preceding INTERSPEECH Challenges, we present the four Sub-Challenges of ComParE 2013. In particular, we provide details of the Challenge databases and a meta-analysis by conducting experiments of lo
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Computer Speech and Language, Elsevier, 2019, 53, pp.156-180
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https://hal.archives-ouvertes.fr/hal-01993250
Contributeur : Fabien Ringeval <>
Soumis le : jeudi 24 janvier 2019 - 18:59:24
Dernière modification le : lundi 18 mars 2019 - 16:03:50

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  • HAL Id : hal-01993250, version 1

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Björn Schuller, Felix Weninger, Yue Zhang, Fabien Ringeval, Anton Batliner, et al.. Affective and Behavioural Computing: Lessons Learnt from the First Computational Paralinguistics Challenge. Computer Speech and Language, Elsevier, 2019, 53, pp.156-180. 〈hal-01993250〉

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