posted by organizer: lukas_chr || 3630 views || tracked by 2 users: [display]

MuSe 2023 : The 4th International Multimodal Sentiment Analysis Challenge and Workshop @ ACM Multimedia 2023, Ottawa, Canada

FacebookTwitterLinkedInGoogle

Link: https://www.muse-challenge.org/
 
When Oct 29, 2023 - Nov 3, 2023
Where Ottawa, Canda
Submission Deadline Jul 7, 2023
Notification Due Jul 30, 2023
Final Version Due Aug 5, 2023
Categories    affective computing   machine learning   multimedia   artificial intelligence
 

Call For Papers

The Multimodal Sentiment Analysis Challenge (MuSe) 2023 is dedicated to multimodal sentiment and emotion recognition in different scenarios: https://www.muse-challenge.org

This year's edition features three different sub-challenges:


== Sub-Challenges, Datasets & Features ==

1. Emotional Mimicry Sub-challenge (MuSe-Mimic)
Predicting 3 discrete emotions (Approval, Uncertainty, Disappointment) from videos of mimicked emotional expressions. This sub-challenge utilises the novel Hume-Mimic dataset provided by Hume AI (https://www.hume.ai). It contains over 32 hours of audiovisual recordings of 557 different subjects, including transcripts.

2. Cross-Lingual Humor Detection Sub-challenge (MuSe-Humor)
Predicting the presence of humour in audio-visual recordings of football press conferences. In this sub-challenge, a cross-lingual setting is provided, where the training data comprises German recordings, while the test data is composed of English press conferences. Overall, more than 17 hours of data (audio, video, transcripts) are provided.

3. Personalisation Sub-challenge (MuSe-Personalisation)
Predicting emotional valence and psycho-physiological arousal signals from audio-visual recordings. In order to facilitate personalisation, parts of each test subject's labels are made available. MuSe-Personalisation uses the Ulm-TSST data set that includes audio, video, textual transcriptions and physiological signals (respiratory rate, ECG, BPM).

For the baseline paper see here: https://www.researchgate.net/publication/370100318_The_MuSe_2023_Multimodal_Sentiment_Analysis_Challenge_Mimicked_Emotions_Cross-Cultural_Humour_and_Personalisation

== How to Participate ==
Instructions are available at https://www.muse-challenge.org/challenge/participate. Data and features are available upon registration. Links to the baseline code and the preliminary baseline paper are also provided on the homepage (https://www.muse-challenge.org).


== Organisers ==
Shahin Amiriparian (University of Augsburg, GER)
Lukas Christ (University of Augsburg, GER)
Andreas König (University of Passau, GER)
Alan Cowen (Hume AI, USA)
Eva-Maria Meßner (University of Ulm, GER)
Erik Cambria (Nanyang Technological University/ SenticNet, SG)
Björn W. Schuller (Imperial College London/ audEERING, UK)

Related Resources

IEEE-Ei/Scopus-ITCC 2025   2025 5th International Conference on Information Technology and Cloud Computing (ITCC 2025)-EI Compendex
MuSe 2024   The 5th International Multimodal Sentiment Analysis Challenge and Workshop
SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus
IEEE-Ei/Scopus-CNIOT 2025   2025 IEEE 6th International Conference on Computing, Networks and Internet of Things (CNIOT 2025) -EI Compendex
ACM SAC 2025   40th ACM/SIGAPP Symposium On Applied Computing
AMLDS 2025   IEEE--2025 International Conference on Advanced Machine Learning and Data Science
IKGRC 2024   The 2nd International Knowledge Graph Reasoning Challenge
21st AIAI 2025   21st (AIAI) Artificial Intelligence Applications and Innovations
ACM ICVARS 2025   ACM--2025 9th International Conference on Virtual and Augmented Reality Simulations (ICVARS 2025)