The beginning of the revolution in music artificial intelligence technology and creation from Chen Shanni’s AI Vocal single - AI4kids

Table of Contents

• Preface
• Audio Processing and AI Music Technology
• Introduction to Automatic Spectrum Collection Technology
• Chord Knowledge and Chord Generation Model
• Future development direction of music artificial intelligence
• Conclusion

Preface

With the advancement of technology, AI has become an important driving force for development in various fields, and the music industry is no exception. The application of AI music technology is gradually changing the way music is created and experienced. Chen Shanni’s AI vocal single is a good example. Through AI music technology, she successfully adjusted the sound automatically to a tone that matches the melody and chords after recording the vocals. In addition, AI music technology has many other applications, such as music generation, automatic score collection, chord generation, music recommendation, etc. This article will introduce you to the relevant knowledge of AI music technology.

Audio Processing and AI Music Technology

The core of AI music technology lies in audio processing. An audio signal is a continuous voltage waveform signal that is converted into sound by the human ear. Through signal processing technology, AI can convert music into data, and then perform data analysis and processing. Convolutional Neural Network (CNN) is one of the widely used technologies, which can effectively extract audio features and then be used in applications such as music type classification and sound recognition. MIDI signal processing converts the sound of musical instruments into electronic signals so that the sound of musical instruments can be processed as data. MIDI is the basis of music digitization. It can accurately record elements such as music pitch, duration and intensity, so it is also widely used in fields such as automatic music score collection and chord generation.

Introduction to Automatic Spectrum Collection Technology

Automatic music collection technology can convert music into data that can be understood by computers and converted into musical scores. One of the automatic music notation tools is Omnizart, which successfully realizes the music notation of monophonic instruments through the combination of multi-layer perceptron model (MLP) and recurrent neural network (RNN). There are also other research and applications in automatic music scoring technology, such as simultaneously scoring the sounds of multiple instruments and synthesizing the scoring results to produce synthetic music. The development of automatic music score collection technology has brought a lot of convenience to music teaching, music composition and music appreciation.

Chord Knowledge and Chord Generation Model

Chords are a very important concept in music, usually a harmony composed of multiple notes. Chord knowledge refers to the analysis of musical chords. By analyzing the relationship between chords, AI can better understand chord music. The chord generation model can generate chords through AI technology and then create music. Using the long short-term memory model (LSTM) to generate chords allows AI to automatically generate music melodies. The generation of chords is not just about melody generation, it can also incorporate a variety of musical elements such as timbre and rhythm to create richer and more diverse musical works.

Future development direction of music artificial intelligence

As technology advances, music AI technology will continue to develop. In the future, music artificial intelligence technology will not only be limited to automatic score collection and chord generation, but can also further develop creative music creation. For example, through GAN (Generative Adversarial Network) technology, AI can automatically generate and evaluate music, and further automate music creation.

In addition to creation, music artificial intelligence technology can also be applied to music recommendation systems. Through big data analysis, AI can more accurately recommend music that suits personal tastes, thereby improving the user's music experience.

Conclusion

The application of AI music technology is constantly expanding, which can make music creation more intelligent and creative. In the future, people can expect more music creation

Breakthroughs in music and its applications have made AI music technology an important driving force for the development of the music industry. In the future, music artificial intelligence technology can better cooperate with human musicians, provide more inspiration and creativity through AI technology, and jointly create better music works.

In addition to music creation and recommendation systems, AI music technology can also be applied in fields such as music teaching and music medicine. For example, AI technology can automatically assess and improve music learners’ musical literacy and performance skills, and provide more inspiration and options for music therapy.

In short, AI music technology is an important trend in the development of the music industry, and its scope of application is also constantly expanding. In the future, with the advancement of technology and in-depth application, I believe that AI music technology will bring more surprises and breakthroughs to the music industry.

Want to learn more?

AI Music Special Online Course: https://ai4kids.ai/courses/ai-music/ AI4kids collaborates with Professor Su Li’s team from Academia Sinica to record video teaching. Through online learning, you can step by step enter the cross-disciplinary special practical courses of AI and music! AI Music Practice Camp: https://ai4kids.ai/ai-camp-ai-for-music/ The research team of Professor Su Li from Academia Sinica, Professor Lin Yijun, Director of the National Tsing Hua University AI Orchestra, and the Wangyan Technology team will lead students into the world of AI music, learn about technologies such as automatic score collection, automatic score following, and virtual musicians, and appreciate the ensemble of chamber musicians and AI. The hackathon will allow students to create their own music performance scenes and music compositions through the virtual orchestra application.

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