Interactive oral English correction method

Abstract

The invention discloses an interactive oral English correction method. The method comprises the following steps: firstly, preprocessing a received voice signal, screening out noise in the voice signal, then carrying out time domain segmentation on a preprocessed effective signal, carrying out language recognition on each time domain segmentation result, and obtaining an input statement according to corresponding consistent recognition results of each group. Therefore, the syntax structure corresponding to the input statement can be obtained by analyzing the abstract statement combination of the input statement, and prompt is carried out by integrating the pronunciation of the user and the deviation of the corresponding word in the training database. According to the method, the grammatical structure and the pronunciation problem of the user can be synchronously pointed out in the process of interacting with the user, the language environment of oral communication can be simulated, and pronunciation and grammatical training are carried out in the oral communication process. Due to the fact that the training correction method has real-time performance, the training learning effect is better, operation is easy, the teaching cost is lower, and popularization and acceptance are easy.

Description

technical field [0001] The invention relates to the field of English teaching, in particular to an interactive oral English correction method. Background technique [0002] English learning, especially the learning of spoken English needs to create a language environment, and also needs to be able to point out the mistakes of the practitioners in time during the practice process and give guidance to the mistakes. However, most of the existing learners do not have the corresponding language environment. Even if learners communicate in English deliberately, they will face the situation that no one will provide professional guidance on the mistakes in communication during the communication process. [0003] The principle of the existing interactive learning system is to use big data or machine learning technology to collect corresponding English dialogues and provide mechanical feedback according to the sentences spoken by the learners. Existing interactive learning systems c...

AI Technical Summary

Problems solved by technology

The existing interactive learning system cannot guarantee the accuracy of the response, nor can it judge the grammar or pronunciation errors in the sentences spoken by the learners

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