本项目旨在开发一个智能多模态情绪识别系统，通过融合文本、语音和视觉信息来精准识别对话中的六种人类情绪。传统方法难以有效整合多种模态数据，导致识别性能受限。我们创新性地采用大型预训练模型作为核心技术：利用BERT深度理解语义内容，通过Wav2Vec 2.0解析语音中的声学特征，借助视觉Transformer捕捉面部表情变化。通过跨模态融合技术，系统能够自主学习和权衡不
active 2025-10-29 → 2025-10-29 (UTC)
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