TY - GEN
T1 - MuSe’24
T2 - 5th Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor, MuSe 2024, in conjunction with ACM Multimedia 2024
AU - Christ, Lukas
AU - Amiriparian, Shahin
AU - König, Andreas
AU - Eulitz, Simone
AU - Cambria, Erik
AU - Schuller, Björn W.
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/10/28
Y1 - 2024/10/28
N2 - The 5th Multimodal Sentiment Analysis Challenge (MuSe), a workshop in conjunction with ACM Multimedia’24, is focused on Multimodal Machine Learning in the domain of Affective Computing. Two different sub-challenges are proposed: Social Perception Sub-Challenge (MuSe-Perception) is a regression task on 16 different perceived characteristics including arrogance, sincerity and likability. For this, the novel LMU-ELP dataset is introduced, consisting of short audiovisual recordings of 177 subjects annotated by MTurk workers. Cross-Cultural Humour Detection Sub-Challenge (MuSe-Humour) poses the problem of cross-cultural humor recognition. An extension of the Passau Spontaneous Football Coach Humor (Passau-SFCH) dataset featuring football coach press conference recordings is utilized in this task. The training set consists of German data, while the test data comprises English recordings only. In both sub-challenges, audiovisual recordings, transcripts, pre-computed features, and baseline models are made available. In this summary, we detail the challenge’s motives, organization, participation statistics, and results.
AB - The 5th Multimodal Sentiment Analysis Challenge (MuSe), a workshop in conjunction with ACM Multimedia’24, is focused on Multimodal Machine Learning in the domain of Affective Computing. Two different sub-challenges are proposed: Social Perception Sub-Challenge (MuSe-Perception) is a regression task on 16 different perceived characteristics including arrogance, sincerity and likability. For this, the novel LMU-ELP dataset is introduced, consisting of short audiovisual recordings of 177 subjects annotated by MTurk workers. Cross-Cultural Humour Detection Sub-Challenge (MuSe-Humour) poses the problem of cross-cultural humor recognition. An extension of the Passau Spontaneous Football Coach Humor (Passau-SFCH) dataset featuring football coach press conference recordings is utilized in this task. The training set consists of German data, while the test data comprises English recordings only. In both sub-challenges, audiovisual recordings, transcripts, pre-computed features, and baseline models are made available. In this summary, we detail the challenge’s motives, organization, participation statistics, and results.
KW - Affective Computing
KW - Challenge
KW - Cross-Cultural Humour Detection
KW - Multimodal Fusion
KW - Multimodal Sentiment Analysis
KW - Social Perception
KW - Summary Paper
UR - http://www.scopus.com/inward/record.url?scp=85210852765&partnerID=8YFLogxK
U2 - 10.1145/3689062.3695939
DO - 10.1145/3689062.3695939
M3 - Conference contribution
AN - SCOPUS:85210852765
T3 - MuSe 2024 - Proceedings of the 5th Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor, Co-Located with: MM 2024
SP - 10
EP - 11
BT - MuSe 2024 - Proceedings of the 5th Multimodal Sentiment Analysis Challenge and Workshop
PB - Association for Computing Machinery, Inc
Y2 - 28 October 2024 through 1 November 2024
ER -