Metadata processing method and system for spoken language learning

Abstract

A metadata processing method and a metadata processing system both for spoken language learning are disclosed, wherein the method comprises the following steps of: step 1, monitoring the practice process of a user to obtain the practice speech of the user; step 2, analyzing and assessing the speech of the user by means of the speech analysis technology; step 3, analyzing the assessment result to obtain objective grading information of different granularities and layers for the speech of the user; step 4, analyzing the analysis result to obtain the detail information of the pronunciation of the user; step 5, combining the information of the user with the practice content information, the grading information, the pronunciation detail information and the time information, and associating thecombined information with the speech of the user to generate basic metadata recording the practising state of the user; and step 6, collecting a mass of basic metadata recording the practising statesof the user to obtain all the historical learning states of the same user or all the users on the same practice content, and then associating the collected basic metadata with a standard speech to generate converged metadata.

Description

technical field [0001] The invention relates to the fields of oral language learning and metadata analysis, in particular to a metadata processing method and system for oral language learning. Background technique [0002] In the traditional computer-aided oral language learning system, the learner performs oral practice according to the system prompting questions and requirements, and then the system analyzes and evaluates the learner's pronunciation, and provides targeted guidance information. Feedback to adjust your spoken pronunciation. Computer-aided oral language learning here refers to learners using computers to learn spoken language, including the learning of several aspects such as pronunciation accuracy, fluency, prosody and grammar. Oral practice means that learners perform pronunciation exercises according to the requirements, and the exercises can be at different levels such as phonemes, syllables, words, sentences and paragraphs. System evaluation refers to ...

AI Technical Summary

Problems solved by technology

As far as we know, there is currently no technology in oral language learning systems that uses metadata to represent the learning situation and summarizes and analyzes the learning difficulties and key points

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