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

Weiyan Li

doi:10.3389/fpsyg.2021.751406

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.

Highlights

With the high-speed economic development and the continuous improvement of living standards of residents in China, parents pay increasingly more attention to the comprehensive development of preschool children
Based on the analysis of the functions and characteristics of intelligent piano, a method of detecting the onset of piano note is proposed based on convolution neural network (CNN)
Intelligent piano teaching is introduced into a class of 40 preschool children aged 4–6 years to teach the piano lesson Jingle Bells

Summary

Introduction

With the high-speed economic development and the continuous improvement of living standards of residents in China, parents pay increasingly more attention to the comprehensive development of preschool children. Mounting preschool children are choosing to learn intelligent piano, especially in developed cities (Wahl et al, 2021). The intelligent piano can be connected to intelligent devices through the Internet to teach learners online, gradually realizing the intellectualization of the piano (Williams et al, 2017). Since the intelligent piano “The One” came out in 2015 and has been used in piano teaching, there is a proliferation of intelligent piano training classes nationwide. The mechanical principle of the traditional piano can be combined with Internet information technology (IT), automatic control technology, and artificial intelligence (AI) technology to form the intelligent piano. With the development of science and technology, the intelligent piano comes

Methods

Results

Conclusion