Abstract
With the rise of piano teaching in recent years, many people participated in the team of learning steel playing. However, expensive piano teaching fees and its unique one-to-one teaching model have caused piano education resources to be very short, so learning piano performance has become a very extravagant event. The factors affecting music performance are varying, and there are many types of their evaluation such as rhythm, expressiveness, music, and style grasp. The computer is used to simulate this evaluation process to essentially identify the mathematical relationship between factors affecting music performance and evaluation indicators. The use of computer multimedia software for piano teaching has become a feasible way to alleviate the contradiction. This paper discusses the implementation method of piano teaching software, the issues of computer piano teaching, the computer teaching as one-way knowledge, and the lack of interaction. The neural network (NN) model is used to evaluate the piano performance and simulate teachers to guide students through their exercise. The performance of the proposed system is tested for the piano music of “Ode to Joy,” which is different from the collection of NN training samples, and is delivered ten times by another piano teacher, student A (piano level 6), and student B (piano level 5).
Highlights
Scholars put forward the visualization of music and conducted relevant research work in this area
Scientific Programming responding to performance features, which can be implemented with feature extraction of the sound wave signal or through responding directly to the MIDI signal. e research of music visualization has a wide range of applications
From the perspective of manually evaluating music playback, when the elements of music playing are played, the evaluation process includes performances, players, musical instruments, listeners, and audience’s feelings of music. e impact of playing exchanges on the audience is essential for processing the sound sent by the instrument, such as reflection and reverb, and the impact generated by the instrument is the sound of it. e operator’s operation of the instrument can make the instrument produce different sounds, and this process is the most important process that affects the audience. e evaluation system of undergraduate research is aimed at evaluating the performance of the player, so his/her process of operation of the instrument is the input we have to get
Summary
Scholars put forward the visualization of music and conducted relevant research work in this area. E research of music visualization has a wide range of applications. In the functional design of the piano teaching software/ model by using NN, music visualization is a big contribution to education software. Students can see their performance while playing the piano, which makes students comprehensively grasp the information of the music they play. NN is a mathematical model that computes prediction/output based on interconnected layers (input, hidden, and output layer). Each node in the final layers makes weighted addition based on received values from the input nodes. The weighted addition is passed to some nonlinear activation functions such as Rectified Linear Unit (ReLU), Leaky ReLU, Sigmoid, Tan Hyperbolic (Tanh), and Softmax Activation Function to compute the final outputs
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