Design of Music Teaching System Based on Internet of Things Multimedia Intelligent Platform

Abstract

In order to improve the practical and popularization value of the multimedia vocal music teaching system, the author proposes a teaching system based on the Internet of Things multimedia intelligent platform. Mainly use Visual C++ to realize the acquisition, playback, and display of audio and realize the real-time modification of the sound wave waveform on the computer and also add the function of vocal score. Experimental results show that in the pitch comparison, the standard fundamental frequency average value of the fundamental frequency track of the two pieces of music is obtained by the cepstral method: avgF 0 = 143.12 HZ and the average fundamental frequency of the trial singing: avgF 0 = 142.05 HZ . The average distance and score of each parameter of the testers are mindisv = 726.126 for pitch intensity, path length = 144 ; mindisp = 4.51987 , path length = 163 for pitch, breath smoothness = 484.20 . Conclusion. This method not only improves the intuitiveness and interaction of vocal music teaching, but also increases the interest of vocal music teaching.