TY - JOUR
T1 - AVEC'19: Audio/Visual Emotion Challenge and Workshop
AU - Ringeval, Fabien
AU - Schuller, Björn
AU - Valstar, Michel
AU - Cummins, Nicholas
AU - Cowie, Roddy
AU - Pantic, Maja
PY - 2019/10/15
Y1 - 2019/10/15
N2 - 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 DAIC-WOZ 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.
AB - 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 DAIC-WOZ 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.
U2 - 10.1145/3343031.3350550
DO - 10.1145/3343031.3350550
M3 - Article
JO - Proceedings of the 27th ACM International Conference on Multimedia
JF - Proceedings of the 27th ACM International Conference on Multimedia
ER -