Abstract
This paper carries out the design and development of digital music teaching assistant system based on computer application technology. The system analyzes students’ video, audio, physiology and other related information in detail, and stores the specific training status to the database in an all-round way to test the real-time changes of skill level. It has been proved by practice that this system can not only provide more visual information and all parameters for teaching and training, but also transform the theory and method of skills into vivid image data information. It can also significantly improve the rationality of music skill training and the efficiency of skill learning, which is worth promoting and applying.
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Pang, Q.: Research on vocal music teaching assisted by digital technology. Music Time Space (10), 155 (2015)
Liu, G.: The application of digital music technology in the teaching of theoretical courses. Music Time Space (2), 177–178 (2014)
Yan, G.: The construction and application of digital teaching system in higher music education in China. Art Educ. (Z8), 134–135 (2017)
Zhao, H.: Research on the Application of Digital Music Tools in Basic Music Teaching. Huazhong Normal University, Wuhan (2016)
Liang, Y.: On music classroom teaching in the digital age. North. Music (13), 133 (2014)
Wang, J.: Design and implementation of online music player on IOS platform. Autom. Technol. Appl. 35(6), 45–48 (2016)
Chen, H.: Course planning and practice of digital music teaching in university music department. Teach. Educ. Forum (7), 25–30 (2017)
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Ding, J., Yu, L. (2020). Digital Music Course Based on Computer Application Technology. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1147. Springer, Cham. https://doi.org/10.1007/978-3-030-43309-3_69
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DOI: https://doi.org/10.1007/978-3-030-43309-3_69
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Online ISBN: 978-3-030-43309-3
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