  This paper proposes a system capable of recognizing a speaker's
utterance-level emotion through multimodal cues in a video. The system
seamlessly integrates multiple AI models to first extract and pre-process
multimodal information from the raw video input. Next, an end-to-end MER model
sequentially predicts the speaker's emotions at the utterance level.
Additionally, users can interactively demonstrate the system through the
implemented interface.
