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

Video Multimodal Emotion Recognition System for Real World Applications