AVEC 2013 - The continuous Audio/Visual Emotion and depression recognition challenge

Michel Valstar, Björn Schuller, Kirsty Smith, Florian Eyben, Bihan Jiang, Sanjay Bilakhia, Sebastian Schnieder, Roddy Cowie, Maja Pantic

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

427 Scopus citations

Abstract

Mood disorders are inherently related to emotion. In particular, the behaviour of people suffering from mood disorders such as unipolar depression shows a strong temporal correlation with the affective dimensions valence and arousal. In addition, psychologists and psychiatrists take the observation of expressive facial and vocal cues into account while evaluating a patient's condition. Depression could result in expressive behaviour such as dampened facial expressions, avoiding eye contact, and using short sentences with flat intonation. It is in this context that we present the third Audio-Visual Emotion recognition Challenge (AVEC 2013). The challenge has two goals logically organised as sub-challenges: the first is to predict the continuous values of the affective dimensions valence and arousal at each moment in time. The second sub-challenge is to predict the value of a single depression indicator for each recording in the dataset. This paper presents the challenge guidelines, the common data used, and the performance of the baseline system on the two tasks.

Original languageEnglish
Title of host publicationAVEC 2013 - Proceedings of the 3rd ACM International Workshop on Audio/Visual Emotion Challenge
PublisherAssociation for Computing Machinery
Pages3-10
Number of pages8
ISBN (Print)9781450323956
DOIs
StatePublished - 2013
Event3rd ACM International Workshop on Audio/Visual Emotion Challenge, AVEC 2013 - Barcelona, Spain
Duration: 21 Oct 201321 Oct 2013

Publication series

NameAVEC 2013 - Proceedings of the 3rd ACM International Workshop on Audio/Visual Emotion Challenge

Conference

Conference3rd ACM International Workshop on Audio/Visual Emotion Challenge, AVEC 2013
Country/TerritorySpain
CityBarcelona
Period21/10/1321/10/13

Keywords

  • Affective computing
  • Challenge
  • Emotion recognition
  • Facial expression
  • Speech

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