Leveraging Intelligent Big Data Technology for Optimizing Vocal Singing Training based on Embedded Systems Framework

被引:0
|
作者
Ding Z. [1 ]
Zhang B. [2 ]
机构
[1] College of Marxism, Anhui Public Security College, Anhui, Hefei
[2] Department of Science and Technology, Anhui Institute of Public Security Education, Hefei
来源
关键词
Embedded Systems Framework; intelligent big data; optimization; training method; vocal singing;
D O I
10.14733/cadaps.2024.S8.196-211
中图分类号
学科分类号
摘要
In order to improve the effect of vocal music singing training, this paper studies the waveform intelligent analysis of the vocal music singing process, and uses the vector wave research method to carry out the intelligent identification and analysis of the vocal music singing waveform. In order to realize the real-time positioning of vocal input notes in the musical score, this paper adopts the dynamic programming score tracking algorithm based on the extended cave. In addition, this paper constructs a vocal singing training system based on intelligent big data technology. After constructing the intelligent training system, this paper evaluates the effect of vocal singing training method based on intelligent big data technology. It can be seen from the research that the vocal singing training method based on intelligent big data technology proposed in this paper can play a good auxiliary role in modern vocal music training. © 2024 U-turn Press LLC.
引用
收藏
页码:196 / 211
页数:15
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