Modular Design of English Pronunciation Level Evaluation System Based on Deep Learning Algorithm

The problem that modern foreign language teaching technology brings to teachers is that the calculation amount of lecture rating and identification is relatively huge, and higher computer hardware materials and software systems are needed to see fast preparing of monumental lecture symbols. The algorithm mechanic learning is an effective algorithm widely adopted in many walks at present. BP neural network, support vector machine and other methods in machine education algorithm have lofty preparing function. This article focuses on the present situation of contemporary language education and the factual usage strategies of applying machine deep learning algorithm to the level evaluation system of language pronunciation to improve the performance of the pronunciation level rating, which has a positive reference implication for the progress of foreign language teaching theory under the context of the continuous maturity of AI.