Method and system for improving oral evaluation performance

Abstract

The invention discloses a method and system for improving the oral evaluation performance. The method comprises the steps that speech data, to be evaluated, of a user are received, wherein the speech data comprise the speech data of reading questions and the speech data of semi-open-ended questions; grading is conducted on the reading questions according to the speech data of the reading questions; self-adaption effective data are obtained from a grading result; according to the self-adaption effective data, a preset acoustic model is optimized; the semi-open-ended questions are evaluated through the optimized acoustic model. By the adoption of the method and system for improving the oral evaluation performance, the accuracy of oral evaluation is effectively improved.

Description

technical field [0001] The invention relates to the technical field of speech signal processing, in particular to a method and system for improving spoken language evaluation performance. 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 ...

AI Technical Summary

Problems solved by technology

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 scoring standards cannot be guaranteed, and sometimes it cannot even accurately reflect the true level of the testees; and for large-scale oral tests, it requires a lot of manpower, material resources and financial support, which limits the regularity and scale. assessment test

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