Collision Between Artificial Intelligence and Music Education

Artificial intelligence technology can reshape music education and make music education more supportive and creative. In addition, artificial intelligence technology also makes musicians all over the world more democratic when creating new music. Music is a common language of human beings all over the world, which can connect people all over the world. As new technological means make people's communication more and more smooth, artificial intelligence begins to take over human hearts, our consciousness and even our ears.

For example, the artificial intelligence music application amber music can now create its own music album, while other artificial intelligence music applications such as smartmusic allow users to synthesize and create music. Artificial intelligence has begun to open a new world. In this new world, users of artificial intelligence can learn automatically and personalized. Music education will also benefit from the efficiency improvement brought by this new technology. Of course, these new forms of music creation obviously need more efforts to impress users.

So, how will machine learning innovate music education and stimulate human innovation in music? Artificial intelligence is becoming the next important learning tool. However, at present, artificial intelligence can not well take over the link of creative creation, but artificial intelligence has indeed made music education and creation easier than ever before.

Artificial intelligence technology can reshape music education and make music education more supportive and creative. For music students and a new generation of musicians, in addition, artificial intelligence technology also makes musicians around the world more democratic in creating new music. In the traditional music class, music teachers often show music knowledge to students with the help of waveform, rhythm overlap or chord generated by physical instruments. However, artificial intelligence can become a powerful assistant for teachers in the classroom.

If music teachers can train those teachers who are ready to participate in the music education industry through artificial intelligence, they can also help music students with the same technical means. In the United States, the University of Pennsylvania created the first intelligent classroom founded by music professionals. In this artificial intelligence virtual reality environment called "first class", teachers can teach students music skills and work with "artificial intelligence" virtual students.

A company called third space learning has begun a new platform to monitor and improve the quality of teaching with the help of artificial intelligence. On the new platform, students can interact with teachers through online electronic whiteboard, and teachers can also answer students' questions through electronic whiteboard.

Third space learning has spent 100000 hours of audio and written data with scientists from University College London to judge how artificial intelligence can improve classroom teaching and how to better help students consolidate their knowledge points. In addition, some success indicators obtained from the original data can help find out how many problems will occur, how these teaching conversation processes are helpful to students, and how teachers judge the teaching process. They predict that AI can feed back students' learning progress, knowledge mastery and even emotion in a few seconds.

Other education companies, such as Pearson, have said that the existing computer system can support one-to-one teaching guidance and group discussion. In addition, existing computer systems can also simulate complex environments to support learning purposes. In the "an argument for AI in education" report released by Pearson Education Company, of course, the company can also combine music instruments and auxiliary teaching contents with digital functions, so as to monitor, guide and analyze students' learning situation when students study music in class or at home.

In fact, Laurie Forcier, the author of the report, said that this tool can serve as people's lifelong learning partner, and can even ask questions, encourage students, make suggestions and connect to more online education resources. If students encounter learning difficulties, this tool can provide students with guided performance and even better learning skills. Usually, anyone can learn from real life what they usually don't encounter in class. However, with the development of artificial intelligence, music education can be more popularized in physical classroom or virtual classroom with the help of various forms of applications or tools.

Today, musicians have begun to apply artificial intelligence tools to their music creation. Douglas Eck and his research team at Google launched a project called project magenta, a machine learning research project designed to help them understand how computers create various forms of music and art. This neural learning project provides a synthesizer and a note sequence generation model that can interact with human musicians. With Google, people can even use a plug-in for a digital music workstation called Ableton. With the help of tensorflow, an open source machine learning library, this tool for musicians provides the in-depth insight that musicians need.

Use and tools to help music learning, and these tools can help music creation. For example, popgun claims that the artificial intelligence that he can learn from human musicians can supplement and strengthen the music creation of human musicians. Weav, another start-up company, can create music according to various variables, such as people's mood, rhythm, beat, energy and emotion. Today, more and more start-ups respond to weav's co-founder Lars Rasmussen through a variety of ways. He said that human musicians will continue to create their own music, but in the future, he predicted that artificial intelligence can better help human musicians rather than completely replace them.

These new technical tools can provide valuable records for students with the help of all the data stored in the cloud by human musicians. Indeed, artificial intelligence can help us analyze the melody of music, the beat per minute and more. However, music education is invisible to a great extent, and even needs many means to interpret the style and characteristics of music. Music often brings imperfections because of the interpretation of different people. Every music performance can not be completely copied.

To a large extent, artificial intelligence is still in the early stage of development. Although artificial intelligence can store data and complete simple tasks, it can not answer broader questions, cultural questions. However, artificial intelligence can indeed change the existing music education system, but it still needs to know more about this art form in order to combine it with real music teaching guidance and become an available tool.

Collision Between Artificial Intelligence and Music Education 1

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