Automatic Scoring of Spoken Language Based on Basic Deep Learning

Table 5

Performance evaluation of scoring model.

	Pearson correlation	Average difference	Accuracy
Between manual scoring	0.764	0.485	—
BP model	0.695	0.645	82.6%
CNN + LSTM model	0.545	0.602	80.1%