Article
Application of Deep Learning in Vocal Music Teaching
Authors
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Abstract
This paper builds a cloud-oriented speech teaching system based on deep learning mode. A synthetic algorithm for decision-making based on depth and hierarchy knowledge is presented. This algorithm calculates the weight matrix of the user and marks to achieve personalized speech recommendations. The whole process of cloud music teaching has been realized. The identification performance of the recorded database is compared with that of the Berlin database. It is proved that the identification ability of this algorithm is greatly improved.
Keywords
Deep learning, Hybrid recommendation algorithm, Vocal music teaching, Vocal demonstration model, Scrapy, Collaborative filtering, 00A65
Citation
Zheng, L. & Cui, L. (2023). Application of deep learning in vocal music teaching. Applied Mathematics and Nonlinear Sciences, 8(1), 2777–2786. https://doi.org/10.2478/amns.2023.1.00457
L. Zheng and L. Cui, “Application of deep learning in vocal music teaching,” Applied Mathematics and Nonlinear Sciences, vol. 8, no. 1, pp. 2777–2786, 2023, doi: 10.2478/amns.2023.1.00457.
Zheng L, Cui L. Application of deep learning in vocal music teaching. Applied Mathematics and Nonlinear Sciences. 2023;8(1):2777–2786. doi:10.2478/amns.2023.1.00457.
Zheng, L. and Cui, L. (2023), ‘Application of deep learning in vocal music teaching’, Applied Mathematics and Nonlinear Sciences, 8(1), pp. 2777–2786. Available at: https://doi.org/10.2478/amns.2023.1.00457.
Zheng, Lili, and Lina Cui. “Application of Deep Learning in Vocal Music Teaching.” Applied Mathematics and Nonlinear Sciences, vol. 8, no. 1, 2023, pp. 2777–2786. https://doi.org/10.2478/amns.2023.1.00457.
Zheng, Lili, and Lina Cui. “Application of Deep Learning in Vocal Music Teaching.” Applied Mathematics and Nonlinear Sciences 8, no. 1 (2023): 2777–2786. https://doi.org/10.2478/amns.2023.1.00457.
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Published by: Engineering Journals
