An automatic assessment method for oral fluency based on generalized fluency

Abstract

The invention relates to a method for automatic evaluation based on generalized fluent spoken language fluency, which comprises the following steps of: acquiring speech data according to different ages and spoken language levels by using a speech input device; adopting an evaluating model based on characteristics of the generalized fluency and the machine learning training fluency; configuring a speech recognition system with corresponding parameters according to scripts of different subjects and genders of enunciators in the speech data; performing quantification on speech speed coherence, content understanding, advanced skills and reconstruction standard characteristics in the speech data to comprehensively extract the characteristics of the fluency from the speech data from the angle of expert assessment and evaluation; and adopting a decision tree method in regression fitting analysis and data mining to detect faults of abnormal fluency and grade and diagnose the fluency. The acquired score of the machine fluency can reach the level close to that of grading experts, and the relativity index exceeds that of 2 to 3 of general 5 experts; besides, the method has a high speed, and can be embedded into a spoken language automatic evaluation system to serve as an important module to evaluate fluency indexes in pronunciation quality.

Description

technical field [0001] The invention belongs to the field of speech recognition, and relates to a method for merging multiple fluency features based on speech recognition to obtain scores and combining rules for diagnosis. Background technique [0002] A number of oral scoring studies have shown that fluency and accuracy are two important indicators for evaluating the quality of oral pronunciation. Taking English as an example, the traditional oral English test score mainly uses manual comprehensive inspection of the above two indicators to obtain the overall score of the examinee. This method has the following disadvantages: 1) The speed is slow, and it is necessary to basically listen to the pronunciation for reviewing a section of pronunciation , and then review according to the teacher's experience and syllabus requirements; in a large-scale exam, if the number of people exceeds 100,000, the teacher's workload is very complicated; 2) The comprehensiveness is poor, and th...

AI Technical Summary

Problems solved by technology

[0007] In order to solve the problems of slow manual scoring, poor comprehensiveness and non-uniform scale in the existing spoken language test, especially the spoken English test, as well as the single inspection index and poor correlation with manual scoring in the current automatic oral pronunciation fluency assessment, the present invention The purpose is to propose an automatic assessment method and system for oral fluency based on generalized fluency for oral English teaching and oral automated testing

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