TY - GEN
T1 - AVEC'19
T2 - 27th ACM International Conference on Multimedia, MM 2019
AU - Ringeval, Fabien
AU - Cummins, Nicholas
AU - Schuller, Björn
AU - Cowie, Roddy
AU - Valstar, Michel
AU - Pantic, Maja
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s). ACM ISBN 978-1-4503-6889-6/19/10.
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 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.
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 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.
KW - Affective Computing
KW - Cross-Cultural Emotion
KW - State-of-Mind
UR - http://www.scopus.com/inward/record.url?scp=85074820470&partnerID=8YFLogxK
U2 - 10.1145/3343031.3350550
DO - 10.1145/3343031.3350550
M3 - Conference contribution
AN - SCOPUS:85074820470
T3 - MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia
SP - 2718
EP - 2719
BT - MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia
PB - Association for Computing Machinery, Inc
Y2 - 21 October 2019 through 25 October 2019
ER -