Method and device for distinguishing different sounds in class, equipment and storage medium

Abstract

The invention relates to a method and device for distinguishing different sounds in a classroom, equipment and a storage medium, and relates to the technical field of sound classification, and the method comprises the steps: collecting classroom sounds, inputting the classroom sounds into a trained voiceprint model, and obtaining voiceprint vectors of a plurality of sound segments; according to the voiceprint vector, judging whether a sound fragment corresponding to the voiceprint vector is a non-teacher sound; if yes, inputting the voiceprint vector into a trained sound classification model, and classifying sound segments corresponding to the voiceprint vector according to the voiceprint vector; the training method of the sound classification model comprises the following steps: extracting Mel spectrum features of each training sample in a training sample set; converting the Mel spectrum features into a two-dimensional Mel spectrum graph; and inputting the Mel spectrogram into the sound classification model, and training the sound classification model by using a VGG11 network structure. The method and the device have the effect of distinguishing different sounds in the classroom.

Description

technical field [0001] The present application relates to the technical field of sound classification, and in particular, to a method, apparatus, device and storage medium for distinguishing different sounds in a classroom. Background technique [0002] In the classroom, there are often many kinds of voices, such as the voice of the teacher, the voice of a single student, the voice of multiple students reading together, the voice of discussion and noise, and so on. In the process of classroom analysis, it is often necessary to distinguish these different voices in the classroom in order to analyze different teaching behaviors in the classroom. [0003] At present, the traditional method is to use pre-collected teacher voices to distinguish different voices in the classroom, but it only distinguishes the voices of teachers and non-teachers, and does not distinguish the voices of a single student, the voices of multiple students reading together, the voices of discussion soun...

AI Technical Summary

Problems solved by technology

[0003] At present, the traditional method is to distinguish different voices in the classroom through the pre-collected teacher's voice, but it only distinguishes the teacher's voice from the non-teacher's voice, and does not distinguish the voice of a single student, the voice of multiple students reading together, and the discussion sound and noise

Images