Abstract
Abstract VR is an important engine in the process of informatization road in the education industry, which has advantages that traditional technology can not reach. In this paper, we actively explore audio signal processing technology and VR technology combined with the teaching of musicology majors in a new teaching method, and apply it to the teaching practice. After pre-processing the audio signal and extracting the acoustic parameters, the LVQ neural network is used to construct a music singing evaluation model based on audio signal processing. Based on this, an innovative design for music teaching mode is proposed in combination with VR technology. Taking the music majors of a university as an example, we carry out the application of the VR music teaching model and analyze its application effect. The evaluation results of the LVQ model are very close to the expert scores, with an average difference of 0.214. This can be better used in the evaluation of student singing in music teaching. The test scores of the sample students improved by 0.768 points overall after the experiment, and all dimensions were significantly different at the 1% level, indicating that the VR music teaching mode can effectively promote the music knowledge skills and satisfaction of students in music teaching, and the reasonable use of the VR music teaching mode can effectively improve the effect of music teaching.
Published Version
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