Self-adaption language training method and platform

Abstract

The invention discloses a self-adaption language training method and platform so that any voice message inputted by a user under a selected scene can be evaluated. The method includes the steps that a scheduling module calls a voice recognition module to conduct voice recognition on any voice message inputted by the user under the selected scene, the voice recognition module recognizes the voice message and inputs a recognition result to an evaluation module, the evaluation module evaluates the semantic standard degree, the content integrity and the content accuracy and weights the semantic standard degree evaluation result, the content integrity evaluation result and the content accuracy evaluation result to obtain a comprehensive evaluation result, and the scheduling module feeds the recognition result and the comprehensive evaluation result back to the user. According to the method and the platform, when expression of the user is evaluated, only a reference replay text and an expected key word text need to be obtained, the language use capacity of the user can be objectively and accurately reflected, and the method and the platform are beneficial for improving the language expression capacity of the user.

Description

technical field [0001] The invention relates to the field of speech recognition, in particular to an adaptive language training method and platform. Background technique [0002] With the development of society, language communication between people is playing an increasingly important role in all aspects of social life, and many problems in the process of language communication have also been paid more and more attention. Taking children with speech impairment as an example, relevant organizations have conducted surveys on tens of thousands of students in Beijing and other places in recent years, and found that the prevalence of children with speech and speech impairments is 6.42% in ordinary primary schools, 9.24% in schools for the blind, and 30.10% in schools for the mentally handicapped. The incidence of obstacles is relatively high, and these children need professional speech rehabilitation training. For example, police stations in Hong Kong and other places have carri...

AI Technical Summary

Problems solved by technology

[0005] 1) When evaluating a user statement, the text of the user statement must be known in advance, otherwise it cannot be evaluated

The user must express the language according to the text predefined by the system. If the user modifies or repeats the expression inconsistent with the predefined text, the accuracy of the system's evaluation of the user's expression will drop sharply;

[0006] 2) It is difficult to achieve the purpose of comprehensive training of users' ability to understand, express and use language

However, the above-mentioned existing reading-aloud language training limits the user's expression content, so it is impossible to carry out targeted training on the user's understanding, expression and language use ability;

[0007] 3) There is no evaluation of grammar standardization

The above-mentioned existing reading-aloud language expression training only stays at the phoneme and acoustic level, and users cannot express spontaneously, so it is impossible to evaluate the grammatical standardization of user expressions

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