Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)

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Computer Visualization Analysis of the Recording of Art Song “LA PROMESSA” Based on vmus.net Platform

Authors
Yueqian Xu1, *
1School of Arts, Chongqing University, Chongqing, 400000, China
*Corresponding author. Email: 1060751586@qq.com
Corresponding Author
Yueqian Xu
Available Online 7 May 2024.
DOI
10.2991/978-94-6463-417-4_50How to use a DOI?
Keywords
Recording computer visualization; vmus.net platform; LA PROMESSA
Abstract

Recording computer visualization is a non subjective interpretation and judgment of music expression, which is a technical means of presenting abstract music content in the form of text, images, videos, etc., with visual as the center and music as the carrier, using auxiliary tools. With the development of technology, the emergence of visual analysis software for recording technology has provided great help to music researchers, and the presentation of data makes the research results more convincing.

After learning to sing ‘LA PROMESSA’, I gained some insights into this art song. Therefore, we hope to provide objective and rational data analysis and research for the art song “LA PROMESSA” through the use of a recording computer visualization platform.

This article selects the singing versions of four singers, namely: Shi Yijie, Luciano Pavarotti, Renata Tebaldi, and Yang Yan. Using the Vmus.net recording computer visualization analysis online platform, generate speed and force analysis graphs, worm performance graphs, and use scientific and empirical analysis methods to objectively and rationally analyze the similarities and differences of four singers singing the art song “LA PROMESSA”.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)
Series
Advances in Intelligent Systems Research
Publication Date
7 May 2024
ISBN
10.2991/978-94-6463-417-4_50
ISSN
1951-6851
DOI
10.2991/978-94-6463-417-4_50How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yueqian Xu
PY  - 2024
DA  - 2024/05/07
TI  - Computer Visualization Analysis of the Recording of Art Song “LA PROMESSA” Based on vmus.net Platform
BT  - Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)
PB  - Atlantis Press
SP  - 539
EP  - 547
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-417-4_50
DO  - 10.2991/978-94-6463-417-4_50
ID  - Xu2024
ER  -