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Practice and Exploration of Music Solfeggio Teaching Based on Data Mining Technology

People can learn, understand, and use music using the solfeggio method. People involved in professional music training have given it importance because it is a fundamental discipline of enlightenment music and a necessary training method and technical theory course to enter the professional level. T...

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Detalles Bibliográficos
Autor principal: Zhang, Wenfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398808/
https://www.ncbi.nlm.nih.gov/pubmed/36017247
http://dx.doi.org/10.1155/2022/5436772
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author Zhang, Wenfeng
author_facet Zhang, Wenfeng
author_sort Zhang, Wenfeng
collection PubMed
description People can learn, understand, and use music using the solfeggio method. People involved in professional music training have given it importance because it is a fundamental discipline of enlightenment music and a necessary training method and technical theory course to enter the professional level. This article presents an in-depth analysis of the music curriculum model based on data mining technology. Additionally, a music style classification method based on FP Growth association rules mining is developed, which decreases the number of frequent element sets needed and speeds up database scanning. To better match the characteristics of music, a multirepetition structure model is used, and the MFCC (Mel-frequency cepstral coefficients) function is used to set the repetition structure model. The results demonstrate that the music style classification method put forth in this article has clear advantages in terms of efficiency: when the minimum support is 0.2 percent, this method's execution time is about 33 percent compared to the other methods. The outcomes of the experiment suggest that this method can more accurately capture the repeatability of music and enhance separation performance to some extent.
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spelling pubmed-93988082022-08-24 Practice and Exploration of Music Solfeggio Teaching Based on Data Mining Technology Zhang, Wenfeng J Environ Public Health Research Article People can learn, understand, and use music using the solfeggio method. People involved in professional music training have given it importance because it is a fundamental discipline of enlightenment music and a necessary training method and technical theory course to enter the professional level. This article presents an in-depth analysis of the music curriculum model based on data mining technology. Additionally, a music style classification method based on FP Growth association rules mining is developed, which decreases the number of frequent element sets needed and speeds up database scanning. To better match the characteristics of music, a multirepetition structure model is used, and the MFCC (Mel-frequency cepstral coefficients) function is used to set the repetition structure model. The results demonstrate that the music style classification method put forth in this article has clear advantages in terms of efficiency: when the minimum support is 0.2 percent, this method's execution time is about 33 percent compared to the other methods. The outcomes of the experiment suggest that this method can more accurately capture the repeatability of music and enhance separation performance to some extent. Hindawi 2022-08-16 /pmc/articles/PMC9398808/ /pubmed/36017247 http://dx.doi.org/10.1155/2022/5436772 Text en Copyright © 2022 Wenfeng Zhang. 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
Zhang, Wenfeng
Practice and Exploration of Music Solfeggio Teaching Based on Data Mining Technology
title Practice and Exploration of Music Solfeggio Teaching Based on Data Mining Technology
title_full Practice and Exploration of Music Solfeggio Teaching Based on Data Mining Technology
title_fullStr Practice and Exploration of Music Solfeggio Teaching Based on Data Mining Technology
title_full_unstemmed Practice and Exploration of Music Solfeggio Teaching Based on Data Mining Technology
title_short Practice and Exploration of Music Solfeggio Teaching Based on Data Mining Technology
title_sort practice and exploration of music solfeggio teaching based on data mining technology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398808/
https://www.ncbi.nlm.nih.gov/pubmed/36017247
http://dx.doi.org/10.1155/2022/5436772
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