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基于智能大数据技术的声乐训练方法优化。

Optimization of Vocal Singing Training Methods Using Intelligent Big Data Technology.

机构信息

Conservatory of Music, Jeonbuk National University, Jeonju 561756, Republic of Korea.

Conservatory of Music, Huaiyin Normal University, Jiangsu 223300, China.

出版信息

Comput Intell Neurosci. 2022 Jul 9;2022:8589517. doi: 10.1155/2022/8589517. eCollection 2022.

DOI:10.1155/2022/8589517
PMID:35855805
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9288341/
Abstract

The development of art education and information technology has led to the importance of computer technology and multimedia technology in the development of students' independent inquiry and research skills. In the context of "Internet+," new modes of teaching phonics have emerged, reconfiguring the spatial and temporal relationship of phonics education. The use of Internet resources is not only a simple collection and sharing of educational resources, but also a new way of teaching voice, which has the magic charm of becoming one of the resources for the majority of voice enthusiasts. However, in practice, there are very few assistive software suitable for music classroom teaching. It is important to research and implement teaching aids suitable for music classroom teaching. Based on intelligent big data technology to optimize the phonetic training methods, the teaching methods are more specific, scientific, and diverse, and improve the self-learning ability and learning interest of Chinese phonetic learners. The experimental results show that the weight of the phonetic teaching optimization process is 0.154 higher than the weight before processing, which is expressed as the value of the control reliability fuzzy quantifier in this test. In other words, the reliability is "absolutely reliable." Therefore, this study is expected to promote the modernization and scientific process of Chinese vocal education and propose a new way of thinking for Chinese vocal education.

摘要

艺术教育和信息技术的发展使得计算机技术和多媒体技术在培养学生自主探究和研究能力方面的重要性日益凸显。在“互联网+”的背景下,新的拼音教学模式应运而生,重新配置了拼音教育的时空关系。利用互联网资源不仅是对教育资源的简单收集和共享,也是一种新的语音教学方式,具有成为广大语音爱好者资源之一的魅力。然而,在实践中,适合音乐课堂教学的辅助软件非常少。因此,研究和实施适合音乐课堂教学的教学辅助工具非常重要。基于智能大数据技术优化拼音训练方法,教学方法更加具体、科学和多样化,提高了汉语拼音学习者的自主学习能力和学习兴趣。实验结果表明,拼音教学优化过程的权重比处理前提高了 0.154,这在本次测试中表示为控制可靠性模糊量词的值。换句话说,可靠性是“绝对可靠的”。因此,本研究有望推动汉语声乐教育的现代化和科学化进程,并为汉语声乐教育提供一种新的思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/5397a518c3a8/CIN2022-8589517.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/dc8124bade7f/CIN2022-8589517.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/507685cb18a6/CIN2022-8589517.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/fdb76f8eeccd/CIN2022-8589517.003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/69f9fb458d43/CIN2022-8589517.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/6fc18c56455c/CIN2022-8589517.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/d8763d4c2396/CIN2022-8589517.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/5397a518c3a8/CIN2022-8589517.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/dc8124bade7f/CIN2022-8589517.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/507685cb18a6/CIN2022-8589517.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/fdb76f8eeccd/CIN2022-8589517.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/b8a0f523dac0/CIN2022-8589517.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/69f9fb458d43/CIN2022-8589517.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/6fc18c56455c/CIN2022-8589517.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/d8763d4c2396/CIN2022-8589517.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba2/9288341/5397a518c3a8/CIN2022-8589517.008.jpg

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