Research on the Whole Teaching of Vocal Music Course in University Music Performance Major Based on Multimedia Technology

Abstract

MT (multimedia technology) music teaching has changed the rigid, unitary, and boring teaching form of traditional music teaching, which has made a comprehensive breakthrough and impact on traditional university music education and has shown a brand-new teaching form to contemporary college students, greatly increasing their strong interest in learning music. In this paper, an objective evaluation method of vocal music quality based on the comparison of sound parameter characteristics is proposed by using the technology of sound signal parameter analysis and extraction. Through confidence measure, reliable data are selected for online adaptive updating of Gaussian mixture model, and the recognition results are smoothed to further remove the instantaneous mutation error. The main melody of singing is discriminated by fundamental frequency discrimination model. Experiments show that the overall accuracy rate of the main melody of vocal music extracted by this algorithm is 86.24%.