Emotion-LLaMA
Visit ToolEmotion-LLaMA is an open-source AI tool that performs multimodal emotion recognition and reasoning. It integrates audio, visual, and textual inputs to understand complex emotional expressions.
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Emotion-LLaMA is an open-source AI tool that performs multimodal emotion recognition and reasoning. It integrates audio, visual, and textual inputs to understand complex emotional expressions.
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About
Emotion-LLaMA is an advanced open-source AI model designed for multimodal emotion recognition and reasoning, leveraging instruction tuning. It addresses the limitations of traditional single-modality approaches by seamlessly integrating audio, visual, and textual inputs through emotion-specific encoders. The model aligns features into a shared space and employs a modified LLaMA model, significantly enhancing both emotional recognition and reasoning capabilities. It was accepted at NIPS 2024 and has achieved top scores in various challenges, including the MER2024 Challenge. The project also includes the MERR dataset, which contains a large number of coarse-grained and fine-grained annotated samples across diverse emotional categories, enabling models to learn from varied scenarios and generalize to real-world applications.
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Open Source
Free
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