AVEC 2011-the first international audio/visual emotion challenge

  • Authors:

  • Björn Schuller;Michel Valstar;Florian Eyben;Gary McKeown;Roddy Cowie;Maja Pantic

  • Affiliations:

  • Technische Universität München, Institute for Human-Machine Communication, Munich, Germany;Imperial College London, Intelligent Behaviour Understanding Group, London, UK;Technische Universität München, Institute for Human-Machine Communication, Munich, Germany;Queen's University, School of Psychology, Belfast, UK;Queen's University, School of Psychology, Belfast, UK;Imperial College London, Intelligent Behaviour Understanding Group, London, UK and Twente University, EEMCS, Twente, The Netherlands

  • Venue:
  • ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
  • Year:
  • 2011

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Abstract

The Audio/Visual Emotion Challenge and Workshop (AVEC 2011) is the first competition event aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and audiovisual emotion analysis, with all participants competing under strictly the same conditions. This paper first describes the challenge participation conditions. Next follows the data used - the SEMAINE corpus - and its partitioning into train, development, and test partitions for the challenge with labelling in four dimensions, namely activity, expectation, power, and valence. Further, audio and video baseline features are introduced as well as baseline results that use these features for the three sub-challenges of audio, video, and audiovisual emotion recognition.