The Interspeech Computational Paralinguistics ChallengE (ComParE) series is an open Challenge in the field of Computational Paralinguistics dealing with states and traits of speakers as manifested in their speech signal’s properties. The Challenges takes annually place at INTERSPEECH since 2009. Every year, we introduce new tasks as there still exists a multiplicity of not yet covered, but highly relevant paralinguistic phenomena. The Challenge addresses the Audio, Speech, and Signal Processing, Natural Language Processing, Artificial Intelligence, Machine Learning, Affective & Behavioural Computing, Human-Computer/Robot-Interaction, mHealth, Psychology, and Medicine communities, and any other interested participants.

Here, we provide links to the current and former Challenges including the papers that introduce each Challenge in detail, and the respective winners. 

(c) 2019 Björn Schuller and Anton Batliner.