面向情感语音识别的情感维度PAD预测
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孙颖,胡艳香,张雪英,段淑斐
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Prediction of emotional dimensions PAD for emotional speech recognition
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Ying SUN,Yan-xiang HU,Xue-ying ZHANG,Shu-fei DUAN
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表 3 4类回归模型在2类数据库的预测结果比较 |
Tab.3 Comparison of prediction results of four kinds of regression models in two kinds of databases |
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维度 | 模型 | TYUT2.0 | | EMO-DB | r | R2 | MAE | r | R2 | MAE | P | 模型1 | 0.53 | 0.28 | 0.89 | | 0.59 | 0.33 | 0.87 | P | 模型2 | 0.48 | 0.22 | 0.94 | | 0.46 | 0.18 | 0.91 | P | 模型3 | 0.48 | 0.23 | 0.92 | | 0.46 | 0.19 | 0.94 | P | 模型4 | 0.44 | 0.20 | 0.95 | | 0.45 | 0.16 | 0.93 | A | 模型1 | 0.73 | 0.53 | 0.40 | | 0.74 | 0.52 | 0.34 | A | 模型2 | 0.70 | 0.49 | 0.43 | | 0.68 | 0.38 | 0.40 | A | 模型3 | 0.69 | 0.45 | 0.43 | | 0.69 | 0.41 | 0.38 | A | 模型4 | 0.68 | 0.44 | 0.45 | | 0.67 | 0.33 | 0.41 | D | 模型1 | 0.69 | 0.46 | 0.74 | | 0.96 | 0.92 | 0.27 | D | 模型2 | 0.63 | 0.40 | 0.76 | | 0.96 | 0.92 | 0.28 | D | 模型3 | 0.59 | 0.35 | 0.78 | | 0.96 | 0.90 | 0.31 | D | 模型4 | 0.59 | 0.34 | 0.80 | | 0.96 | 0.91 | 0.29 |
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