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Practice and Research on Network Digital Multimedia Vocal Music Teaching

Published: 09 June 2021 Publication History

Abstract

Vocal music art is an important part of China's excellent culture. In the teaching of vocal music, the traditional teaching methods have some defects, such as long training cycle, boring teaching process and difficult to understand the content. In recent years, the rapid development of network digital technology has been widely used in various fields, but there is little research on the relationship between digital technology and vocal music teaching. Therefore, this paper puts forward the practice and research of network digital multimedia vocal music teaching. In this paper, the characteristics of digital technology and vocal music teaching are deeply studied, and according to the actual needs of vocal music teaching, combined with the advantages of digital technology, the application of digital assisted teaching is analyzed. This paper holds that the application of multimedia technology can directly present the teaching content, improve the learning efficiency and shorten the period of personnel training. In order to further verify the auxiliary effect of digital multimedia assisted teaching on vocal music art, this paper takes tenor as the experimental object, and carries out a number of detection experiments including sound squeezing and voice throat pressing. Through the experimental test results, the use of digital multimedia technology can better find the shortcomings of vocal music singing, and form data, so that vocal music teaching is more scientific.

References

[1]
Wang Xuesong. (2019). A study on the mode of vocal teaching activities in the communication of vocal music culture in china%. Research on the "mode" of vocal music culture in china. Journal of Tangshan Normal University, 041 (005), 155-160.
[2]
Ye Dan. (2017). The application of heuristic in college vocal teaching%. The application of heuristic in college vocal teaching. Journal of Lianyungang Teachers College, 034 (004), 61-63.
[3]
Sun Guangtao. (2018). On the influence of popular singing on vocal music teaching%. On the influence of popular singing on vocal music teaching. Journal of Heihe University, 009 (005), 82-83.
[4]
Poliniak, & Susan. (2015). A little swing: teaching vocal jazz to elementary students. Teaching Music, 22(4), 59-60.
[5]
Maruyama, S. (2015). A study of the teaching methods of vocal training: at the college of education. Angewandte Chemie, 127(17), 308–314.
[6]
Li Chonghao. (2019). An analysis on the integration of traditional music culture in vocal music teaching. Journal of Heihe University, 010 (006), 145-147.
[7]
Tait, A. R., & Voepel-Lewis, T. (2015). Digital multimedia: a new approach for informed consent? Jama, 313(5), 463-464.
[8]
Dixon, J. L., Mukhopadhyay, D., Hunt, J., Jupiter, D., & Papaconstantinou, H. T. (2016). Enhancing surgical safety using digital multimedia technology. American Journal of Surgery, 211(6), 1095-1098.
[9]
Zhang Guanglei. (2018). Application of multimedia data mining technology in the development and utilization of digital library collection resource. Journal of Agricultural Library and Information Science, 030 (003), 61-64.
[10]
Hou, J. U., & Lee, H. K. (2019). Layer thickness estimation of 3d printed model for digital multimedia forensics. Electronics Letters, 55(2), 86-88.

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CIPAE 2021: 2021 2nd International Conference on Computers, Information Processing and Advanced Education
May 2021
1585 pages
ISBN:9781450389969
DOI:10.1145/3456887
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 June 2021

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Author Tags

  1. Digital Technology
  2. Multimedia Teaching
  3. Vocal Art
  4. Vocal Teaching

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  • Research-article
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  • Refereed limited

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CIPAE 2021

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Overall Acceptance Rate 101 of 216 submissions, 47%

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