An Interactive Music Teaching Platform Based on Cloud Video and Personalized Multi-Mode Network Model

In view of the limitations of traditional image recognition algorithms in interactive music teaching platform, an interactive music teaching platform scheme based on cloud video and personalized multi-model network model was proposed. Firstly, the influencing factors is accurately located through artificial intelligence theory, and the indicators is reasonably divided to reduce interference, and the interactive music teaching platform scheme is constructed by using cloud video and personalized multi-model network model. Experimental results show that under certain evaluation criteria, the proposed scheme is superior to the traditional image recognition algorithm in terms of the accuracy of the interactive music teaching platform and the processing time of influencing factors, and has obvious advantages. The interactive music teaching platform plays an extremely important role in music teaching, which can accurately predict and optimize the growth characteristics and product generation of music teaching. However, traditional image recognition algorithms have certain limitations in solving the simulation problem of platform construction, especially when dealing with complex problems. In this paper, an interactive music teaching platform scheme based on cloud video and personalized multi-mode network model is proposed to better solve this problem. The scheme accurately locates the influencing factors through artificial intelligence theory, so as to determine the division of indicators, and uses cloud video and personalized multi-model network model to construct the scheme. Experimental results show that under certain evaluation criteria, the accuracy and speed of the scheme is significantly improved for different problems, and it has better performance. Therefore, the simulation scheme based on cloud video and personalized multi-mode network model can better solve the limitations of traditional image recognition algorithms and improve the simulation accuracy and efficiency by adopting the simulation scheme in the interactive music teaching platform.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/ginotech63460.2025.11077096
Primary Topic
Educational Technology and Pedagogy
Type
article
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An Interactive Music Teaching Platform Based on Cloud Video and Personalized Multi-Mode Network Model

Meng Li
Educational Technology and Pedagogy
article

An Interactive Music Teaching Platform Based on Cloud Video and Personalized Multi-Mode Network Model

Meng Li
article en

Abstract

In view of the limitations of traditional image recognition algorithms in interactive music teaching platform, an interactive music teaching platform scheme based on cloud video and personalized multi-model network model was proposed. Firstly, the influencing factors is accurately located through artificial intelligence theory, and the indicators is reasonably divided to reduce interference, and the interactive music teaching platform scheme is constructed by using cloud video and personalized multi-model network model. Experimental results show that under certain evaluation criteria, the proposed scheme is superior to the traditional image recognition algorithm in terms of the accuracy of the interactive music teaching platform and the processing time of influencing factors, and has obvious advantages. The interactive music teaching platform plays an extremely important role in music teaching, which can accurately predict and optimize the growth characteristics and product generation of music teaching. However, traditional image recognition algorithms have certain limitations in solving the simulation problem of platform construction, especially when dealing with complex problems. In this paper, an interactive music teaching platform scheme based on cloud video and personalized multi-mode network model is proposed to better solve this problem. The scheme accurately locates the influencing factors through artificial intelligence theory, so as to determine the division of indicators, and uses cloud video and personalized multi-model network model to construct the scheme. Experimental results show that under certain evaluation criteria, the accuracy and speed of the scheme is significantly improved for different problems, and it has better performance. Therefore, the simulation scheme based on cloud video and personalized multi-mode network model can better solve the limitations of traditional image recognition algorithms and improve the simulation accuracy and efficiency by adopting the simulation scheme in the interactive music teaching platform.

Mianyang Normal University (CN)
Openalex Percentile: Top 90%
Educational Technology and Pedagogy
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An Interactive Music Teaching Platform Based on Cloud Video and Personalized Multi-Mode Network Model — Meng Li · (2025) | TGRS Research Map | TGRS