Research Article
Audio-Textual Emotion Recognition Based on Improved Neural Networks
Table 1
The comparison of the experimental results.
| Model | Accuracy (%) | Angry | Excite | Neutral | Sad | WA | UA |
| S_DNN | 54 | 39 | 38 | 64 | 47.37 | 48.75 | S_CNN | 49 | 29 | 46 | 74 | 49.26 | 49.50 | S_CL | 65 | 40 | 48 | 59 | 52.23 | 53.00 | S_CBLA | 44 | 51 | 60 | 69 | 56.55 | 56.00 |
| T_LSTM | 68 | 59 | 65 | 61 | 63.56 | 63.25 | T_BL | 71 | 65 | 69 | 52 | 63.70 | 64.25 |
| M_D_BL | 75 | 61 | 49 | 86 | 65.59 | 67.76 | M_CL_BL | 74 | 70 | 60 | 64 | 66.26 | 67.25 | M_CL_BLR | 72 | 70 | 67 | 73 | 70.18 | 70.50 | M_CBLA_BL | 77 | 75 | 57 | 77 | 69.37 | 71.50 | M_CBLA_BLR | 74 | 65 | 65 | 81 | 70.40 | 71.25 |
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