研究文章
机器学习英语口语的评估体系,基于线性预测编码
|
| 数据集 |
最大的精确度 |
平均准确率 |
标准偏差 |
|
| 卷积核大小 |
| 1 |
0.9491 |
0.9291 |
1.75 e−003 |
| 2 |
0.9663 |
0.9307 |
1.92 e−003 |
| 3 |
0.9318 |
0.9267 |
1.66 e−003 |
| 4 |
0.9491 |
0.9244 |
1.73 e−003 |
| 5 |
0.9265 |
0.9074 |
1.81 e−003 |
| 6 |
0.9214 |
0.9083 |
1.65 e−003 |
|
| 卷积核大小 |
| 1 |
0.9482 |
0.9286 |
1.77 e−003 |
| 2 |
0.9658 |
0.9301 |
1.96 e−003 |
| 3 |
0.9316 |
0.9259 |
1.73 e−003 |
| 4 |
0.9492 |
0.9238 |
1.72 e−003 |
| 5 |
0.9263 |
0.9066 |
1.82 e−003 |
| 6 |
0.9209 |
0.9078 |
1.66 e−003 |
|
| 卷积核大小 |
| 1 |
0.8471 |
0.8312 |
4.13 e−003 |
| 2 |
0.8642 |
0.8476 |
3.37 e−003 |
| 3 |
0.8225 |
0.8164 |
5.68 e−003 |
| 4 |
0.8366 |
0.8132 |
4.05 e−003 |
| 5 |
0.8389 |
0.8246 |
3.49 e−003 |
| 6 |
0.8217 |
0.8059 |
4.22 e−003 |
|
| 卷积核大小 |
| 1 |
0.7323 |
0.7191 |
8.24 e−003 |
| 2 |
0.6824 |
0.6162 |
7.93 e−003 |
| 3 |
0.6917 |
0.6694 |
7.27 e−003 |
| 4 |
0.7318 |
0.7161 |
7.13 e−003 |
| 5 |
0.6429 |
0.6225 |
6.83 e−003 |
| 6 |
0.6835 |
0.6634 |
6.65 e−003 |
|
|