A method and system for oral evaluation

Abstract

The invention relates to the voice signal processing field and discloses an oral evaluation method and system. The method comprises the following steps of receiving voice data to be evaluated; scoring the voice data through a first system to acquire a first scoring result; outputting the first scoring result if the first scoring result satisfies a first condition; otherwise, scoring the voice data through a second system to acquire a second scoring result; mixing the first scoring result and the second scoring result to acquire a first mixed scoring result if the second scoring result satisfies a second condition and outputting the first mixed scoring result; otherwise scoring the voice data through a third system to acquire a third scoring result; mixing the first scoring result, the second scoring result and the third scoring result to acquire a second mixed scoring result and outputting the second mixed scoring result. By means of the method provided in the invention, the system operation efficiency is greatly improved on the premise that the evaluating precision is guaranteed.

Description

technical field [0001] The invention relates to the 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 reflect th...

AI Technical Summary

Problems solved by technology

The traditional system effectively reduces the risk of low-scoring high-scoring data by the oral evaluation system by integrating multi-system scoring, but it increases the consumption of computing resources and evaluation time overhead. It will be N times that of a single system

Especially in the application environment with limited computing resources, the evaluation efficiency needs to be improved urgently

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