Oral English Evaluation Method and System

Abstract

The invention relates to the technical field of voice signal processing, and discloses a method and system for evaluating a spoken language. The method comprises the step of receiving a voice signal to be evaluated, the step of respectively obtaining voice fragments corresponding to basic voice units in the voice signal through at least two different voice recognition systems, the step of respectively extracting evaluating characteristics corresponding to different characteristics types from the voice fragments, the step of calculating original scores of the evaluating characteristics, the step of optimizing and fusing the original scores obtained based on the different voice recognition systems according to the characteristic types to obtain the comprehensive score of the evaluating characteristics, and the step of calculating the score of the voice signal according to the comprehensive score of the different evaluating characteristics. By means of the method and system for evaluating the spoken language, the accuracy of evaluating the spoken language can be improved, and abnormal grading can be reduced.

Description

technical field [0001] The invention relates to the technical field of speech signal processing, in particular to a spoken language evaluation method and system. Background technique [0002] As an important medium of interpersonal communication, spoken language plays an extremely important role in real life. With the continuous development of social economy and the intensification of globalization, people have put forward higher and higher requirements for the efficiency of language learning and the objectivity, fairness and scale of test of language assessment. The traditional artificial oral English assessment method greatly limits the teaching time and space for teachers and students, and there are also many hardware gaps and imbalances in terms of teaching staff, teaching venues, and expenditures; manual assessment cannot avoid evaluators Due to individual deviations, the uniformity of the scoring standards cannot be guaranteed, and sometimes it cannot even accurately ...

AI Technical Summary

Problems solved by technology

However, in practical applications, especially for large-scale oral exams, the recording environment will inevitably be affected by factors such as the noise of the exam room and the environment, and the decline in the accuracy of speech recognition will lead to a certain proportion of abnormally scored voices in the oral evaluation process.

Obviously, this phenomenon makes it difficult for computers to automatically score in large-scale speaking tests, which limits the application scope and promotion of the speaking test system, and cannot be applied to many critical tests. Otherwise, once abnormal scores occur, marking accidents will occur.

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