Oral English Evaluation Algorithm Based on Fuzzy Measures and Speech Recognition Technology

As an important part of English teaching, oral English evaluation plays an important role in promoting students to learn English. The establishment of a diversified oral college English evaluation system is conducive to changing the traditional summative evaluation model, promoting the smooth progress of college English reform, and facilitating the in-depth development of the overall education reform. Fuzzy measure theory abandons the requirement of additivity in classical measure theory. On the basis of the concept of generalized additivity, the condition of additivity is weakened to make it additive in the new sense. With the development of deep learning, speech recognition technology has undergone tremendous technological changes, in which the acoustic model has gradually developed from the traditional Gaussian mixture model to the neural network model. In this paper, the speech recognition technology and fuzzy measure rules are analyzed, and the evaluation system of spoken English is constructed.