Application of virtual reality and multimedia integration in piano teaching of sound education major in colleges and universities

Q4 Decision Sciences
Peng Liu
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引用次数: 0

Abstract

The research has organically integrated VR and multimedia technology, built a corresponding piano teaching platform, and verified its effectiveness through experiments. The experimental results show that the classification effect, classification accuracy and recognition rate have been significantly enhanced after the internal selection algorithm of VR-MM is improved. Among them, the VLRAMM-BPNN algorithm, combining the two improved algorithms with BPNN, has the best performance, the highest coincidence between actual and predicted classification results, the highest classification accuracy of 95.93%, and the recognition rate is 21.6% higher than that of BPNN. According to the overall performance test of VR-MM, both the response speed and various stress tests have achieved the desired results. When the number of people is set at 10,000, the pressure has also reached the bottleneck, fully meeting the actual needs of piano teaching. To sum up, the performance of VR-MM has achieved the expected effect.
虚拟现实与多媒体集成在高校音响教育专业钢琴教学中的应用
本研究将VR与多媒体技术有机结合,搭建了相应的钢琴教学平台,并通过实验验证了其有效性。实验结果表明,对VR-MM内部选择算法进行改进后,分类效果、分类准确率和识别率均有显著提高。其中,将两种改进算法与BPNN相结合的VLRAMM-BPNN算法性能最好,分类实际结果与预测结果吻合度最高,分类准确率最高,达到95.93%,识别率比BPNN提高21.6%。根据VR-MM的整体性能测试,无论是响应速度还是各种压力测试都达到了预期的效果。当人数设定在1万人时,压力也达到了瓶颈,完全满足了钢琴教学的实际需要。综上所述,VR-MM的性能达到了预期的效果。
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来源期刊
International Journal of Networking and Virtual Organisations
International Journal of Networking and Virtual Organisations Decision Sciences-Information Systems and Management
CiteScore
1.40
自引率
0.00%
发文量
25
期刊介绍: IJNVO is a forum aimed at providing an authoritative refereed source of information in the field of Networking and Virtual Organisations.
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