基于多视角解耦融合的多模态会话情感识别
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张婷婷,朱小飞
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Multi-view decoupled fusion for multimodal emotion recognition in conversation
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Tingting ZHANG,Xiaofei ZHU
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| 表 2 不同模型在IEMOCAP数据集上的性能对比结果 |
| Tab.2 Performance comparison of different models on IEMOCAP dataset |
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| 模型 | F1% | Acc% | W-F1% | | 高兴 | 悲伤 | 中性 | 愤怒 | 兴奋 | 沮丧 | | DialogueRNN# | 32.20 | 80.26 | 57.89 | 62.82 | 73.87 | 59.76 | 63.52 | 62.89 | | MMGCN# | 45.14 | 77.16 | 64.36 | 68.82 | 74.71 | 61.40 | 66.36 | 66.26 | | CTNet# | 51.30 | 79.90 | 65.80 | 67.20 | 78.70 | 58.80 | 68.00 | 67.50 | | MM-DFN$ | 42.22 | 78.98 | 66.42 | 69.77 | 75.56 | 66.33 | 68.21 | 68.18 | | SCMM$ | 45.37 | 78.76 | 63.54 | 66.05 | 76.70 | 66.18 | — | 67.53 | | CMCF-SRNet$ | 52.20 | 80.90 | 68.80 | 70.30 | 76.70 | 61.60 | 70.50 | 69.60 | | MultiDAG$ | 49.65 | 81.40 | 69.53 | 70.33 | 71.61 | 66.94 | 69.11 | 69.08 | | FrameERC$ | 56.19 | 80.88 | 67.69 | 63.16 | 78.58 | 69.73 | 70.79 | 70.67 | | AdaIGN$ | 53.04 | 81.47 | 71.26 | 65.87 | 76.34 | 67.79 | 70.49 | 70.74 | | MDF | 56.76* | 83.98* | 74.84* | 66.65 | 77.66 | 69.61* | 72.87* | 73.05* |
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