Analysis of Piano Performance Characteristics by Deep Learning and Artificial Intelligence and Its Application in Piano Teaching

Abstract

Deep learning (DL) and artificial intelligence (AI) are jointly applied to concrete piano teaching for children to comprehensively promote modern piano teaching and improve the overall teaching quality. First, the teaching environment and the functions of the intelligent piano are expounded. Then, a piano note onset detection method is proposed based on the convolution neural network (CNN). The network can analyze the time-frequency of the input piano music signal by transforming the original time-domain waveform of the piano music signal into the frequency distribution varying with time. Besides, it can detect the note onset at a stable state after 8 × 104 iterations. Moreover, an intelligent piano teaching method is designed to teach Jingle Bells for 40 preschool children aged 4–6 years. Finally, a questionnaire survey is performed to investigate the teaching situation, including the learning interest and learning effect of children and learning feedback from parents. The results show that 80% of children like smart music scores, 82% of children like intelligent piano lessons with games, and 84% of children can learn actively in the intelligent piano class. Besides, 85% of parents believe that their children are more interested in learning piano. In general, the intelligent piano teaching method effectively combines DL with AI to realize the overall optimization of piano performance. It is widely favored by preschool children and their parents and plays an important role in improving the interest of preschool children in piano learning.

Design and Application of the Piano Teaching System Integrating Videos and Images

“…e research results show that this piano teaching mode is beneficial to teachers and students in remote areas. Li [19] found that deep learning technology and artificial intelligence technology will provide more technical support for the improvement of modern piano teaching quality. It studies note detection methods for piano teaching using convolutional neural networks.…”

Automatic Assessment of Piano Performances Using Timbre and Pitch Features

“…Smart learning can also introduce new teaching approaches to teachers and students; Ref. [4] smart learning has evaluated piano playing with processing intelligence, artificial intelligence, and a variety of music learning software. Such tools can influence the behaviors and conduct of music students.…”