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

J. Sensors Pub Date : 2022-08-27 DOI:10.1155/2022/6282581
Bin Xie
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引用次数: 1

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.
基于物联网多媒体智能平台的音乐教学系统设计
为了提高多媒体声乐教学系统的实用和推广价值,笔者提出了一种基于物联网多媒体智能平台的教学系统。主要使用Visual c++实现音频的采集、播放和显示,并在计算机上实现对声波波形的实时修改,同时增加了声乐评分功能。实验结果表明,在音高对比中,用倒谱法得到两首乐曲基频轨道的标准基频平均值avgF 0 = 143.12 HZ,试唱的平均基频avgF 0 = 142.05 HZ。测试器各参数的平均距离和得分为:音高强度mindisv = 726.126,路径长度= 144;Mindisp = 4.51987,音调路径长度= 163,呼吸平滑度= 484.20。结论。这种方法不仅提高了声乐教学的直观性和互动性,而且增加了声乐教学的趣味性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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