Generative Music: The Sound of the Future

Aleksandr Limm
7 min readFeb 3, 2023

Mubert, Amper Music, AIVA and Endel are today’s major impact-making companies in the field of generative music.

What is generative music?

Generative music is a form of artificial intelligence that creates music on its own without the intervention of a human composer. The process involves training machine learning algorithms on existing musical data and then using the algorithms to generate new, original pieces of music.

Generative music has the potential to revolutionize the way music is produced and consumed. With the help of AI, musicians and producers can now create music quickly and easily, without the need for extensive musical training or experience. This opens up the possibility of creating new and unique musical styles and genres, as well as making music production more accessible to a wider audience.

One of the key advantages of generative music is its ability to create music in real time. This means that it can respond to live events, such as changes in a user’s mood or environment, and generate music that reflects those changes. This makes it ideal for use in interactive applications, such as video games, virtual reality experiences, and ambient soundscapes.

Another benefit of generative music is its ability to mix different musical styles and genres into a single composition. By using machine learning algorithms, the system can analyze existing musical data and blend different styles to create a unique, hybrid sound. This is particularly useful for experimental or avant-garde artists who are looking to push the boundaries of what is possible in music.

Market backbone & prerequisites

The size and growth of the generative music market are difficult to estimate as it is a relatively new and rapidly evolving industry. However, some sources predict that the generative music market will continue to grow at a rapid pace in the coming years.

According to a report by MarketsandMarkets, the global generative music market is expected to grow from $40.1 million in 2018 to $234.0 million by 2023. The report cites the increasing demand for custom music tracks in various applications, such as video games, films, advertisements, and more, as a key factor driving the growth of the market.

Another report by Grand View Research predicts that the global generative music market will reach $3.3 billion by 2025. The report cites the increasing adoption of artificial intelligence and machine learning technologies in the music industry as a key factor driving the growth of the market.

These reports indicate that the generative music market is poised for strong growth in the coming years, driven by increasing demand for custom music tracks and the rapid advancement of artificial intelligence and machine learning technologies.

Generative Music Platforms

Mubert: #1 in generative music

Mubert is a generative music platform that uses AI to create music in real time. It works by training machine learning algorithms on a large dataset of musical information and then using those algorithms to generate new, original pieces of music.

The process starts by feeding the algorithms musical information, such as the structure of a particular song or the properties of a particular musical style. The algorithms then analyze this information and use it to generate new music that is similar in style or structure.

Mubert is available in 3 forms: (1) as a generative music-listening application for Android & iOS smartphones, (2) as a Studio app for precious in-depth music craft and composition. Also, Mubert provides PRO and Enterprise features for media producers on the scale need, (3) programmatic API-access

One of the key features of Mubert is its ability to generate music in real time. This means that it can respond to changes in a user’s environment or mood and generate music that reflects those changes. For example, it can generate music that is faster or slower based on the pace of a user’s activity or generate music that is more intense or relaxing based on the user’s emotional state.

In addition to its real-time capabilities, Mubert also has the ability to generate listen-a-like music from YouTube reference.

Overall, Mubert represents a major advancement in the field of generative music, allowing anyone to create high-quality, original music without any musical training or experience. By harnessing the power of AI, Mubert is helping to shape the future of music and how it is produced and consumed.

Amper AI Music by Shutterstock +API-included

Amper Music is a generative music platform that uses artificial intelligence to create custom music tracks in real time. The platform allows users to select from a variety of musical styles and genres, and generate music that is tailored to their specific needs.

Amper Music uses machine learning algorithms to analyze and generate music in real time. The platform offers a simple and intuitive interface that allows users to select the desired style, genre, and length of their music track. Users can also adjust various parameters, such as the tempo and key of the music, to further customize the generated track.

entourage of working and crafting with Amper AI Music

One of the key benefits of Amper Music is its speed and efficiency. The platform can generate a high-quality, professional-sounding music track in just a few seconds, making it an ideal solution for businesses and individuals who need a custom music for presentations, commercials, or other projects.

Overall, Amper Music is a powerful and user-friendly generative music platform that offers a unique and innovative solution for creating custom music tracks. Whether you are a professional musician looking to quickly generate new pieces of music, or a business owner looking for an efficient and effective way to create custom music for your projects, Amper Music is a platform that is worth exploring.

AIVA (Artificial Intelligence Virtual Artist)

AIVA (Artificial Intelligence Virtual Artist) is a generative music platform that uses deep learning algorithms to generate original pieces of music in a variety of styles and genres, including classical, jazz, and electronic. The platform uses a neural network trained on a large database of musical pieces to analyze and generate new pieces of music.

AIVA’s unique selling point is its ability to generate music in styles and genres that have been composed by human musicians. This allows users to create original pieces of music that are inspired by the styles of their favorite composers, while still being truly unique and original.

In addition to its generative music capabilities, AIVA also offers a range of tools and features for customizing and fine-tuning the generated music. This includes the ability to adjust the tempo, key, and harmony of the music, as well as the ability to add custom sound effects and transitions.

Overall, AIVA is an intricate generative music platform that offers a unique solution for creating and exploring new pieces of music. Whether you are a professional musician looking for new inspiration, or a music lover looking for a unique and personalized music experience, AIVA is a platform that is worth exploring.

Endel, a startup in generative music

Endel is a generative music platform that creates personalized, real-time audio in a variety of styles and genres. It uses a combination of algorithms and artificial intelligence to generate music that adapts to the listener’s environment and mood. Endel allows users to choose from different mood-based presets, such as “Focus” or “Relax,” and generates unique, ever-evolving soundscapes to match. The platform offers a unique and dynamic listening experience, providing a personalized soundtrack for various activities and moments throughout the day.

Lastly Thoughts

In conclusion, generative music represents a major shift in the way music is created and consumed. With the help of AI, musicians and producers can now quickly and easily create new and unique pieces of music, opening up new possibilities for musical expression and experimentation.

©limmweb, medium.com/@limm

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