Innovation and Use of AI Intelligent Virtual Technology in Music-Based Non-Genetic Heritage Culture
Abstract
an artificial intelligence system is recommended to address the previously mentioned issues. Well completely look at how the systems fundamental technology is utilized practically speaking and present the applications virtual instruction highlight through appropriate material. The
utilization of this technology can fundamentally build the viability of music guidance and give understudies admittance to a more complete instructive experience. To make a new, exceptional model of music training digitization, this concentrate initially explores what informatization
has meant for imaginative music schooling in scholastic establishments prior to tending to informatization techniques in music training innovation practice. In light of distant organisations and AI calculations, a system for music guidance is suggested after examining the purposes of
artificial intelligence in the field of music training. The viability of the suggested structure is tested appropriately to demonstrate its viability,
and the future of artificial intelligence technology in the music business is discussed.
Keywords
Full Text:
PDFReferences
[1] Chen, J.; Ramanathan, L.; Alazab, M. Holistic big data integrated artificial intelligent modeling to improve privacy and security in data
management of smart cities. Microprocess. Microsyst. 2021, 81, 103722.
[2] Della Ventura, M. Exploring the Impact of Artificial Intelligence in Music Education to Enhance the Dyslexic Students Skills. In Learning Technology for Education Challenges: 8th International Workshop, LTEC 2019, Zamora, Spain, 1518 July 2019, Proceedings 8;
Springer International Publishing: Berlin/Heidelberg, Germany, 2019; pp. 1422.
[3] F. Ye, A study on music education based on artificial intelligence, IOP Conference Series: Materials Science and Engineering, vol.
750, no. 1, Article ID 01211, 2020.
[4] Guo, Y.; Yu, P.; Zhu, C.; Zhao, K.; Wang, L.; Wang, K. A state-of-health estimation method considering capacity recovery of lithium batteries. Int. J. Energy Res. 2022, 46, 2373023745.
[5] M. Shang, The Application of Artificial Intelligence in Music Education, in Proceedings of the International Conference on Intelligent
Computing, pp. 662668, Mukalla, Yemen, December 2019.
[6] Shin, W.; Cheol, K.M. Music artificial intelligence: A Case of Google Magenta. J. Tour. Ind. Res. 2020, 40, 2128.
[7] T. Chen, S. Lu, and J. Fan, S-CNN: subcategory-Aware convolutional networks for Object detection, IEEE Transactions on Pattern
Analysis and Machine Intelligence, vol. 40, no. 10, pp. 25222528, 2018.
[8] U. Huseyin, T. Murat, and P. Y. Ezgi, (e effects of the authentic learning approach with a course management system (moodle) on stu-
dents mathematics success and online authentic learning self-efficacy, Educational Research and Reviews, vol. 15, no. 11, pp. 679689,
2020.
[9] X. Chen, H. Xie, D. Zou, and G.-J. Hwang, Application and theory gaps during the rise of artificial intelligence in education, Computers & Education: Artificial Intelligence, vol. 1, Article ID 100002, 2020.
[10] X. Li and S. Wang, Object detection using convolutional neural networks in a coarse-to-fine manner, IEEE Geoscience and Remote
Sensing Letters, vol. 14, no. 11, pp. 20372041, 2017.
[11] Xu, N.; Zhao, Y. Online Education and Wireless Network Coordination of Electronic Music Creation and Performance under Artificial
Intelligence. Wirel. Commun. Mob. Comput. 2021, 2021, 19.
[12] Y. Hu, Application Value of Artificial Intelligence System in Music Education, in Proceedings of the 2021 4th International Conference on Information Systems and Computer Aided Education, pp. 14591462, New York, NY, USA, November 2021.
[13] Z. Lv, Virtual reality in the context of internet of things, Neural Computing & Applications, vol. 32, no. 13, pp. 9593 9602, 2019.
[14] Zhang, Y.; Yi, D. A New Music Teaching Mode Based on Computer Automatic Matching Technology. Int. J. Emerg. Technol. Learn.
2021, 16, 117130.
[15] Zhao, X.; Guo, Z.; Liu, S.; Gupta, P. Exploring Key Competencies and Professional Development of Music Teachers in Primary Schools
in the Era of Artificial Intelligence. Sci. Program. 2021, 2021, 5097003.
DOI: http://dx.doi.org/10.18686/rcha.v2i4.4253
Refbacks
- There are currently no refbacks.