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arxiv 2308.14320 v1 pith:G7GWPKQ2 submitted 2023-08-28 cs.HC

Video Multimodal Emotion Recognition System for Real World Applications

classification cs.HC
keywords systemmultimodalvideoemotionspeakeradditionallyapplicationscapable
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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