Solfeggio Teaching Method Based on MIDI Technology in the Background of Digital Music Teaching

Solfeggio Teaching Method Based on MIDI Technology in the Background of Digital Music Teaching

Shuo Shen, Kehui Wu
DOI: 10.4018/IJWLTT.331085
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Abstract

This research aims at teaching solfeggio and ear training in college music and proposes a teaching method for college music note recognition that combines the musical instrument digital interface (MIDI) and hidden Markov models (HMM). The experiment showcases that after preprocessing the music frequency sample signal using HMM model, it achieves the target accuracy after 20 times of training. From the HMM transition probability matrix diagram estimated from all training data sets, it can be seen that the transition matrix is close to the diagonal matrix. This indicates its high transfer efficiency. This study compares the HMM model with the other two algorithms, and the results show that its accuracy rate is about 99.56%. The probability of insertion errors and elimination errors is 0.52% and 2.58%. This is superior to the other two algorithms. In summary, the HMM model proposed in the study has extremely strong performance in the teaching of music note feature recognition in universities and can provide better teaching methods.
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1. Introduction

With the development of technology, digital music teaching has become an increasingly popular method in modern music teaching. The digitization of musical works is also receiving more and more attention. Due to the increasing cost of piano teaching in universities, the teaching tasks of university music teachers are also becoming more and more difficult. Therefore, it is important to improve the efficiency of teaching and creation (Abeysinghe et al., 2021; Zeng et al., 2020). Today, with the continuous improvement of phonetic feature recognition, the accuracy rate of phonetic feature classification using traditional methods is not high. Traditional music teaching requires specialized teachers to guide and improve students' music level through repeated practice. Repetitive work not only greatly reduces the efficiency of teachers, but also increases the cost of one-on-one tutoring. This makes it difficult for low-income families to systematically learn music. In addition, in teaching, musicians' judgment of pitch is based on their rich teaching experience, and is based on the pitch heard by the human ear. However, this method of judgment is too subjective, inaccurate and prone to error. Introducing computer algorithm technology into music teaching can help students to reduce work pressure on the one hand, and can also help students to escape the influence of teachers to a certain extent. This can reduce the cost of learning (Lee et al., 2020). Among them, MIDI (Musical Instrument Digital Interface) serves as a digital interface for musical instruments, which uses the digital control signals of notes to record music. It can achieve the minimum size recording of music files, greatly reducing the cost of composition and orchestration. This MIDII technology is known as the “computer-understandable score” and can improve the efficiency of music creation. In traditional music teaching, the effectiveness of solfeggio and ear training is inevitably limited by classroom teaching techniques and individual differences among students, making it difficult to demonstrate good application effects. Therefore, this study aims to propose a teaching method for college note feature recognition that combines MIDI and HMM. The approach proposed in the study can combine traditional music teaching methods with modern technology, providing a more efficient and flexible learning approach. MIDI technology can achieve real-time performance, real-time feedback, and automatic grading functions, enabling students to learn musical knowledge and skills by interacting with electronic devices. At the same time, the multimedia function of digital music teaching software can effectively display the playing sounds of various instruments, deepen students' understanding of music theory and skills, and stimulate students' interest in learning while enriching teaching content, improving learning motivation. The Solfeggio teaching method based on MIDI technology can be quantified and customized according to students' performance, provide targeted guidance, accelerate the learning process, realize the personalization, interaction and intelligence of music teaching, provide students with a wider learning space and more efficient learning methods, and improve the quality and effect of music teaching. The exploration of music teaching methods under MIDI technology can provide new technological means and tools for university teaching in universities and personalized learning for students. From a social perspective, the Solfeggio teaching method in the context of digital music teaching can help cultivate more music talents and improve the popularity and effectiveness of music education. The widespread application of digital music technology provides new tools, means, and approaches for music teaching. The Solfeggio teaching method based on MIDI technology can effectively combine digital technology with traditional teaching methods, improve students' mastery and understanding of music knowledge, enhance their interest and learning motivation in music, and cultivate more outstanding music talents. In addition, the promotion and application of digital music teaching can also help promote the development of music education and enhance the country's cultural soft power. From a theoretical point of view, the Solfeggio teaching method based on midi technology can better integrate music theory and practice, providing more specific and visual learning materials and teaching methods. Through MIDI technology, students can intuitively see the symbols, melodies, intervals and other elements of music, and deepen their understanding of music theory and practice by combining actual instrument performance and arrangement. In addition, the application of MIDI technology to Solfeggio teaching can also expand the research field of music education and explore new teaching modes and methods.

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