Multi-dimensional analysis method, device and equipment based on classroom voice, and storage medium

Abstract

The invention relates to the field of artificial intelligence, and discloses a multi-dimensional analysis method, device and equipment based on classroom voice, and a storage medium, and the method comprises the steps: obtaining the initial classroom audio of a target teacher; preprocessing the initial classroom audio to generate a class volume and a tone evaluation value of the target teacher; calling an automatic speech recognition ASR algorithm to recognize the initial classroom audio, and generating a target classroom text of the target teacher; performing data analysis on the target classroom text based on a plurality of preset dimensions to obtain an analysis result of each preset dimension, the plurality of preset dimensions including a speech speed, a meditation, a questioning frequency, a questioning type, an average answering waiting time length and a knowledge point number; and scoring the initial classroom text based on the analysis result of each preset dimension, the class volume, the intonation evaluation value and the corresponding standard reference value to obtain a total score of the target teacher. In addition, the invention also relates to a blockchain technology, and the initial classroom audio can be stored in the blockchain.

Description

technical field [0001] The present invention relates to the field of audio conversion, in particular to a multi-dimensional analysis method, device, equipment and storage medium based on classroom speech. Background technique [0002] After-class evaluation is of great significance for teachers to improve the quality of teaching. Teachers often cannot clearly understand their own lectures after class, such as speaking too fast, the volume is too low, etc., and generally need to be evaluated by other teachers after listening to them In order to clearly know some of your lecture indicators. However, with the method of other teachers observing, on the one hand, it takes time to record the observation, which is a waste of manpower. On the other hand, the after-class evaluations of different teachers are somewhat subjective, and the evaluations given will also be different. Combining software and hardware for intelligent speech analysis, it can accurately and objectively give t...

AI Technical Summary

Problems solved by technology

[0003] Traditional classroom speech analysis methods are often single-dimensional analysis, which has great limitations for teachers to fully understand their class situation

At the same time, after giving the analysis results in the teacher's class, the corresponding range of analysis results that are most suitable for students cannot be given. Such analysis results have limited reference value for teachers.

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