<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Application of Deep Learning in Vocal Music Teaching

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Application of Deep Learning in Vocal Music Teaching"}

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...

Application of Deep Learning in Vocal Music Teaching

Data publikacji: 26 cze 2023

Zakres stron: 2777 - 2786

Otrzymano: 20 sie 2022

Przyjęty: 03 sty 2023

DOI: https://doi.org/10.2478/amns.2023.1.00457

Słowa kluczowe
Deep learning, Hybrid recommendation algorithm, Vocal music teaching, Vocal demonstration model, Scrapy, Collaborative filtering

© 2023 Lili Zheng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Application of Deep Learning in Vocal Music Teaching

Data publikacji: 26 cze 2023

Zakres stron: 2777 - 2786

Otrzymano: 20 sie 2022

Przyjęty: 03 sty 2023

DOI: https://doi.org/10.2478/amns.2023.1.00457

Słowa kluczoweDeep learning, Hybrid recommendation algorithm, Vocal music teaching, Vocal demonstration model, Scrapy, Collaborative filtering

© 2023 Lili Zheng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Deep learning, Hybrid recommendation algorithm, Vocal music teaching, Vocal demonstration model, Scrapy, Collaborative filtering