基于多尺度注意力时序编码网络的语音诱发脑电解码
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姚梓豪,贾海蓉,李雅荣,陈桂军
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Speech-evoked EEG decoding based on Multi-scale Attention Temporal Encoding Network
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Zihao YAO,Hairong JIA,Yarong LI,Guijun CHEN
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| 表 5 跨数据集对比实验结果 |
| Tab.5 Cross-dataset comparative experimental results |
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| 模型名称 | Acctrain (P1/P2/P3)/% | ρ(P1/P2/P3) | r(P1/P2/P3) | | LDA | 32.27 / 33.60 / 33.49 | 0.478 / 0.457 / 0.487 | 0.472 / 0.439 / 0.448 | | Decision Tree | 45.55 / 46.92 / 45.01 | 0.581 / 0.593 / 0.571 | 0.582 / 0.602 / 0.570 | | EEGformer | 54.34 / 53.50 / 54.79 | 0.781 / 0.783 / 0.766 | 0.782 / 0.789 / 0.770 | | MATE-Net | 68.72 / 67.80 / 66.99 | 0.937 / 0.905 / 0.922 | 0.938 / 0.907 / 0.924 |
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