融合生成对抗网络与时间卷积网络的普通话情感识别
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李海烽,张雪英,段淑斐,贾海蓉,Huizhi Liang
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Fusing generative adversarial network and temporal convolutional network for Mandarin emotion recognition
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Hai-feng LI,Xue-ying ZHANG,Shu-fei DUAN,Hai-rong JIA,Hui-zhi LIANG
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表 5 情感识别网络算法的情绪评价指标对比 |
Tab.5 Comparison of emotion evaluation metrics for emotion recognition networks algorithm % |
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数据库 | 算法 | ACC | F1 | AUC | CASIA | CNN[12] | 63.00 | 62.43 | 63.19 | HS-TCN[24] | 76.25 | 76.64 | 76.91 | DRN[25] | 76.91 | 76.67 | 76.94 | ResTCN-FDA | 80.41 | 81.22 | 81.43 | STEM-E2VA | CNN[12] | 56.77 | 56.84 | 57.77 | HS-TCN[24] | 72.81 | 72.59 | 72.92 | DRN[25] | 68.15 | 68.25 | 68.86 | ResTCN-FDA | 75.63 | 75.44 | 76.82 | EMO-DB | CNN[12] | 69.72 | 69.09 | 69.86 | HS-TCN[24] | 74.76 | 73.60 | 75.51 | DRN[25] | 76.64 | 74.72 | 76.96 | ResTCN-FDA | 80.16 | 80.78 | 81.58 | RADVESS | CNN[12] | 57.29 | 55.67 | 57.85 | HS-TCN[24] | 63.29 | 63.56 | 63.58 | DRN[25] | 63.46 | 61.88 | 63.90 | ResTCN-FDA | 66.55 | 65.57 | 66.86 |
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