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Analysis of the Influence of Sports on College Students' Music Vocalization Training Based on Monte Carlo and Dynamic Adjustment Factor Algorithm
With the continuous improvement of people's living standards, the requirements of music majors for their training standards are also increasing, which leads to the development of music training in the direction of intelligence. This paper discusses the problems of breathing, coordination, and m...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308556/ https://www.ncbi.nlm.nih.gov/pubmed/35880096 http://dx.doi.org/10.1155/2022/3443404 |
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author | Hua, Li Yu, Lin |
author_facet | Hua, Li Yu, Lin |
author_sort | Hua, Li |
collection | PubMed |
description | With the continuous improvement of people's living standards, the requirements of music majors for their training standards are also increasing, which leads to the development of music training in the direction of intelligence. This paper discusses the problems of breathing, coordination, and muscle control ability in vocal training and puts forward a vocal training method based on dynamic adjustment factor and Monte Carlo algorithm to solve the difficult problem of vocal training for college students and understand the relationship between vocal training and exercise. Firstly, the sports training set and vocal pronunciation training set are constructed in the form of clustering, and the samples in the set are analyzed discretely to ensure that the samples conform to normal distribution; then, using the Monte Carlo algorithm analyzes the two sample sets and finds out the relationship between exercise and vocal training. Finally, according to breathing, coordination, muscle control ability, and other indicators, calculate the impact of exercise on vocal sound. MATLAB simulation shows that the method proposed in this paper can analyze the influence of exercise on vocal vocalization from the perspective of breathing, coordination, muscle control ability, and other indicators. The accuracy of judgment results is more than 95%, and the time is less than 1 min. All indicators are better than traditional vocal training methods (90%, 2 min), which shows the effectiveness of the method proposed in this paper. |
format | Online Article Text |
id | pubmed-9308556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-93085562022-07-24 Analysis of the Influence of Sports on College Students' Music Vocalization Training Based on Monte Carlo and Dynamic Adjustment Factor Algorithm Hua, Li Yu, Lin J Environ Public Health Research Article With the continuous improvement of people's living standards, the requirements of music majors for their training standards are also increasing, which leads to the development of music training in the direction of intelligence. This paper discusses the problems of breathing, coordination, and muscle control ability in vocal training and puts forward a vocal training method based on dynamic adjustment factor and Monte Carlo algorithm to solve the difficult problem of vocal training for college students and understand the relationship between vocal training and exercise. Firstly, the sports training set and vocal pronunciation training set are constructed in the form of clustering, and the samples in the set are analyzed discretely to ensure that the samples conform to normal distribution; then, using the Monte Carlo algorithm analyzes the two sample sets and finds out the relationship between exercise and vocal training. Finally, according to breathing, coordination, muscle control ability, and other indicators, calculate the impact of exercise on vocal sound. MATLAB simulation shows that the method proposed in this paper can analyze the influence of exercise on vocal vocalization from the perspective of breathing, coordination, muscle control ability, and other indicators. The accuracy of judgment results is more than 95%, and the time is less than 1 min. All indicators are better than traditional vocal training methods (90%, 2 min), which shows the effectiveness of the method proposed in this paper. Hindawi 2022-07-16 /pmc/articles/PMC9308556/ /pubmed/35880096 http://dx.doi.org/10.1155/2022/3443404 Text en Copyright © 2022 Li Hua and Lin Yu. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hua, Li Yu, Lin Analysis of the Influence of Sports on College Students' Music Vocalization Training Based on Monte Carlo and Dynamic Adjustment Factor Algorithm |
title | Analysis of the Influence of Sports on College Students' Music Vocalization Training Based on Monte Carlo and Dynamic Adjustment Factor Algorithm |
title_full | Analysis of the Influence of Sports on College Students' Music Vocalization Training Based on Monte Carlo and Dynamic Adjustment Factor Algorithm |
title_fullStr | Analysis of the Influence of Sports on College Students' Music Vocalization Training Based on Monte Carlo and Dynamic Adjustment Factor Algorithm |
title_full_unstemmed | Analysis of the Influence of Sports on College Students' Music Vocalization Training Based on Monte Carlo and Dynamic Adjustment Factor Algorithm |
title_short | Analysis of the Influence of Sports on College Students' Music Vocalization Training Based on Monte Carlo and Dynamic Adjustment Factor Algorithm |
title_sort | analysis of the influence of sports on college students' music vocalization training based on monte carlo and dynamic adjustment factor algorithm |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308556/ https://www.ncbi.nlm.nih.gov/pubmed/35880096 http://dx.doi.org/10.1155/2022/3443404 |
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