{"title":"Design of Music Teaching System Based on Internet of Things Multimedia Intelligent Platform","authors":"Bin Xie","doi":"10.1155/2022/6282581","DOIUrl":null,"url":null,"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: \n \n avgF\n 0\n =\n 143.12\n HZ\n \n and the average fundamental frequency of the trial singing: \n \n avgF\n 0\n =\n 142.05\n HZ\n \n . The average distance and score of each parameter of the testers are \n \n mindisv\n =\n 726.126\n \n for pitch intensity, \n \n path\n \n length\n =\n 144\n \n ; \n \n mindisp\n =\n 4.51987\n \n , \n \n path\n \n length\n =\n 163\n \n for pitch, \n \n breath\n \n smoothness\n =\n 484.20\n \n . Conclusion. This method not only improves the intuitiveness and interaction of vocal music teaching, but also increases the interest of vocal music teaching.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"85 2 1","pages":"1-7"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2022/6282581","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.