<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this paper, we first systematically sorted out the characteristics of pop singing and musical theater singing and explored the generation of emotion and melody application of pop singing in musical theater singing. Then, the gray <italic>GM</italic>(1,1) model is analyzed, and a gray data mining model based on data analysis is constructed to predict the application of pop singing in combination with the data mining model under data analysis. Finally, the prediction analysis was conducted to use characterization, timbre and style in pop singing, respectively. The results showed that the score of character building was 90, and the errors between the predicted and actual values of timbre and style were between ±0.1 and ±1, respectively, which were within an acceptable range.</p>
</abstract>

In this paper, we first systematically sorted out the characteristics of pop singing and musical theater singing and explored the generation of emotion and melody application of pop singing in musical theater singing. Then, the gray GM(1,1) model is analyzed, and a gray data mining model based on data analysis is constructed to predict the application of pop singing in combination with the data mining model under data analysis. Finally, the prediction analysis was conducted to use characterization, timbre and style in pop singing, respectively. The results showed that the score of character building was 90, and the errors between the predicted and actual values of timbre and style were between ±0.1 and ±1, respectively, which were within an acceptable range.

Analysis of the use of pop singing in musical theater singing based on data analysis

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In this paper, we first systematically sorted out the characteristics of pop singing and musical theater singing and explored the generation of emotion and...

Analysis of the use of pop singing in musical theater singing based on data analysis

Online veröffentlicht: 30. Okt. 2023

Seitenbereich: -

Eingereicht: 27. Nov. 2022

Akzeptiert: 10. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00867

Schlüsselwörter
Gray model, Data analysis, Gray data mining, Popular singing, Musical theater singing

© 2023 Weiling Li, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analysis of the use of pop singing in musical theater singing based on data analysis

Online veröffentlicht: 30. Okt. 2023

Seitenbereich: -

Eingereicht: 27. Nov. 2022

Akzeptiert: 10. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00867

SchlüsselwörterGray model, Data analysis, Gray data mining, Popular singing, Musical theater singing

© 2023 Weiling Li, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Gray model, Data analysis, Gray data mining, Popular singing, Musical theater singing