Deep Learning Dual Neural Networks in the Construction of Learning Models for Online Courses in Piano Education

17Citations
Citations of this article
49Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The use of deep learning (DL) and artificial intelligence (AI) in teaching children piano lessons promotes modern piano instruction and enhances the overall quality of education. To begin, a more thorough explanation of the teaching environment and the intelligent piano's features is provided. Then, a method for detecting the onset of a piano note using a Dual Neural Network (DNN) is proposed. By transforming the original time-domain waveform of the piano music signal into a frequency distribution that changes with time, the network can analyze the input signal's time-frequency. Finally, the intelligent piano teaching method combines deep learning with artificial intelligence (AI) to produce the best possible results for students learning the piano instrument. For children and their parents alike, it is a favorite, and it significantly impacts their interests. The proposed model has a 94% overall accuracy rate.

Cite

CITATION STYLE

APA

Lei, S., & Liu, H. (2022). Deep Learning Dual Neural Networks in the Construction of Learning Models for Online Courses in Piano Education. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/4408288

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free