Affiliations: [a] College of Foreign Languages and Literature, Wuhan University, Wuhan, Hubei, China
| [b] School of Computer Science, Wuhan University, Wuhan, Hubei, China
| [c]
Stanford University, United States
Correspondence:
[*]
Corresponding author. Junchi Zhang, School of Computer Science, Wuhan University, Wuhan, Hubei, China. E-mail: [email protected].
Abstract: In oral English, for the pronunciation of continuous reading and easy to confuse, the difficulty to understand the pronunciation and so on, this kind of spoken pronunciation has a direct influence on the accuracy of computer speech recognition technology. Therefore, based on the fuzzy measure and speech recognition technology, in this paper, the English oral evaluation algorithm is studied. Based on fuzzy measure, the fuzzy comprehensive evaluation algorithm is discussed. This paper focuses on how to solve the problem that the fuzzy measure cannot be fused, the optimization and updating scheme proposed from the algorithm flow and evaluation model, and an effective oral reading evaluation model is established by effectively evaluating the different oral continuous state, giving the corresponding evaluation results. The simulation results show that the optimization of oral English evaluation algorithm can provide a scientific evaluation method and improvement strategy for oral teaching and improving oral learning ability.
