AVEC'19: Audio/visual emotion challenge and workshop

Fabien Ringeval, Nicholas Cummins, Björn Schuller, Roddy Cowie, Michel Valstar, Maja Pantic

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations


The ninth Audio-Visual Emotion Challenge and workshop AVEC 2019 was held in conjunction with ACM Multimedia'19. This year, the AVEC series addressed major novelties with three distinct tasks: State-of-Mind Sub-challenge (SoMS), Detecting Depression with Artificial Intelligence Sub-challenge (DDS), and Cross-cultural Emotion Sub-challenge (CES). The SoMS was based on a novel dataset (USoM corpus) that includes self-reported mood (10-point Likert scale) after the narrative of personal stories (two positive and two negative). The DDS was based on a large extension of the DAICWOZ corpus (c f. AVEC 2016) that includes new recordings of patients suffering from depression with the virtual agent conducting the interview being, this time, wholly driven by AI, i. e., without any human intervention. The CES was based on the SEWA dataset (c. f. AVEC 2018) that has been extended with the inclusion of new participants in order to investigate how emotion knowledge of Western European cultures (German, Hungarian) can be transferred to the Chinese culture. In this summary, we mainly describe participation and conditions of the AVEC Challenge.

Original languageEnglish
Title of host publicationMM 2019 - Proceedings of the 27th ACM International Conference on Multimedia
PublisherAssociation for Computing Machinery, Inc
Number of pages2
ISBN (Electronic)9781450368896
StatePublished - 15 Oct 2019
Externally publishedYes
Event27th ACM International Conference on Multimedia, MM 2019 - Nice, France
Duration: 21 Oct 201925 Oct 2019

Publication series

NameMM 2019 - Proceedings of the 27th ACM International Conference on Multimedia


Conference27th ACM International Conference on Multimedia, MM 2019


  • Affective Computing
  • Cross-Cultural Emotion
  • State-of-Mind


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