Can Ai Really Compose Music

From Beethoven to Bits: Can AI Really Compose Music?

Music has been around for millennia, and how we make and consume music has changed dramatically. The rise of technology, particularly artificial intelligence (AI), has completely transformed the music business. AI has created limitless possibilities in everything from composition to recording. But can AI truly make music that rivals the greats? Let’s look into this collectively.

The Evolution of Music Composition

Since the days of Beethoven and Mozart, music composition has gone a long way. Composers utilized pen and paper to produce their masterpieces back then. We now have computers that can compose music for us. But it was sometimes different. When I started working in the AI industry, the process of composing music was still done by hand. We’d enter notes into a computer and tweak them until we got the right sound. It was exhausting labor, but it was the only method we knew how to make music using technology.

Computer-assisted composition arose over time, and we began employing software to help us make music more effectively. This was game-changing. We could enter the melody, and the program would recommend chords and harmonies that went well with it. It was like having a virtual colleague who could assist us in making our thoughts a reality.

How AI Composes Music

The process of composing music with AI is now more advanced than ever. We are no longer required to enter notes or even melodies. Instead, we enter data. The AI program analyzes the data and generates music from it. For example, we may choose a musical genre, and the AI will generate songs in that style. This technology has created a whole new universe of possibilities. We can make music that has never been heard and experiment with genres we never imagined feasible.

How Ai Composes Music
Image Adapted From Midjourney

The capacity to compose music on the fly is one of the most fascinating elements of AI music. I recall the first time I witnessed a live performance of an AI-generated piece of music. It was a fantastic experience. The AI would compose music depending on the performer’s input, resulting in a one-of-a-kind piece of music that could never be duplicated.

Technicalities Behind The Composition Of Music Using AI

Machine learning algorithms are used in AI music creation to evaluate patterns in existing music and produce new compositions that match those patterns. The algorithms employ complicated mathematical models to discover the underlying structure and rules of a particular musical genre or style, such as the harmonic and rhythmic patterns in jazz music or the melodic patterns in classical music.

Music Composition
Image Adapted From Midjourney

The AI system is “trained” on a massive collection of existing music, which it examines to find common patterns and links between notes, rhythms, and harmonies. After learning the patterns and rules of a given musical genre or style, the system may produce new music that follows those patterns and rules.

AI music composition algorithms can make new music in a wide range of methods. Some systems produce new compositions by randomly creating melodies or chord progressions based on previously learned patterns. Still, others use a more systematic approach, entering musical criteria like tempo, key, and mood to make music that satisfies those requirements.

Overall, AI music composition entails using powerful machine learning techniques to evaluate, comprehend, and duplicate the patterns and rules of current music, with the ultimate objective of producing new and creative compositions that match specified criteria or requirements.

AI Music in Practice

AI in music is more than just a theoretical idea. Many artists and musicians are already using artificial intelligence in their work. AI-generated music, for example, is utilized in video games, movies, and television shows. Indeed, some AI-generated music has proven so popular that it is being broadcast on the radio. However, there are still obstacles to be conquered. One of the most challenging difficulties is ensuring that the music made by AI is unique and not copied. Another difficulty is ensuring that the music generated by AI is of high quality.

READ >> How AI is Changing the World

The Future of AI in Music

The application of AI in music is still in its early stages, but the possibilities are endless. AI-generated music might be employed in all facets of our life in the future, from shopping malls to elevators. The ethical concerns of AI in music are also worth investigating. Should, for example, AI-generated music be copyrighted? Should artificial intelligence-generated music be considered creative works of art? These are only a few topics we must examine as we continue investigating AI usage in music.

Image 7

To summarize, AI has already had a substantial influence on the music business and will only grow in the future. As someone who has worked in this industry for a long time, I look forward to seeing what the future holds. The possibilities are limitless, and the advances we’ve seen thus far are only the tip of the iceberg. AI can take music to areas we’ve only imagined, and it’s up to us to realize that promise.

Where AI-generated Music Can Be Used in The Future

While AI-generated music is still in its early stages, it has already found uses in everything from film and television soundtracks to video game music and commercial jingles. In the future, we may anticipate AI-generated music being employed in even more novel ways, such as:

  1. Personalized Music Suggestions: Personalized music recommendations are one of the most potential uses of AI-generated music. AI algorithms may recommend new music, artists, and genres to consumers based on their listening histories and interests. This can potentially increase the accessibility and enjoyment of music discovery for a broader spectrum of individuals.
  2.  Interactive Music Production: Interactive music creation is another area where AI-generated music has significant promise. Users may interact using AI-powered tools to produce creative music that adjusts to real-time input. This has uses in live performances and interactive installations where the music may be tailored to the audience’s preferences.
  3.  Ambient Soundscapes: Artificial intelligence-generated music may produce ambient soundscapes for various contexts, including public places, offices, and healthcare facilities. The system may create peaceful, energetic, or motivating music depending on the desired impact. This can boost people’s attitudes and productivity while also improving the experience of their overall surroundings.
  4.  Music Therapy: Artificial intelligence-generated music may also be utilized to treat those suffering from disorders like anxiety, depression, and dementia. AI-powered systems can assist in relieving stress, boosting mood, and encouraging relaxation by evaluating the patient’s emotional state and responding with music suited to their requirements.
  5.  Soundtracks for Films and Video Games: AI-generated music may be utilized to create soundtracks for films and video games. AI algorithms can produce music that matches the tone and tempo of the scenes by assessing the mood and emotions represented in the pictures. This can improve the creative process’s efficiency and cost-effectiveness while generating high-quality outputs.

As we continue to investigate the application of AI in music, it is critical to remember that AI is not a substitute for human creativity. While AI-generated music might be remarkable, it lacks the emotional depth and personal connection that human-created music has. Instead, we should think about AI as a tool that may help us improve our creativity and explore new possibilities.


To recap, the answer to “Can AI Really Compose Music?” is yes. The most pressing question is, “What can we accomplish with AI-generated music?” The possibilities are endless, and it is up to us to push the boundaries and discover them. AI-generated music is worth investigating whether you’re a musician, a music fan, or just curious about technology. Who knows, you could be shocked by what you discover.


Can AI truly create music equivalent to that produced by humans?

While AI-generated music might be remarkable, it lacks the emotional depth and personal connection that human-created music has. However, AI may still be a valuable tool for improving human creativity and discovering new musical possibilities.

How does AI make music?

AI makes music by evaluating user-supplied data, such as a specific musical genre or musical rules. The program then generates music based on the input and can even compose music in real-time.

Is there any difficulty in employing AI to make music?

One of the most challenging difficulties is ensuring that AI-generated music is unique and not copied. Another problem is ensuring that the music created by AI is of good quality and fulfills music industry standards.

In what ways is AI-generated music utilized in practice?

AI-generated music is employed in various sectors, including video games, movies, television shows, and radio. AI is also being used by specific artists and musicians to make music, either as a tool to boost their creativity or as a new form of expression.

What is the future of artificial intelligence in music?

The application of AI in music is still in its early stages, but the possibilities are endless. AI-generated music might be employed in all facets of our life in the future, from shopping malls to elevators. As we continue to investigate the application of artificial intelligence in music, we must evaluate the ethical implications and guarantee that AI is appropriately utilized.

Further Resources To Explore

About The Author

Img 4060 Scaled E1675372164153
Williams Alfred Onen

Williams Alfred Onen is a degree-holding computer science software engineer with a passion for technology and extensive knowledge in the tech field. With a history of providing innovative solutions to complex tech problems, Williams stays ahead of the curve by continuously seeking new knowledge and skills. He shares his insights on technology through his blog and is dedicated to helping others bring their tech visions to life.

Similar Posts