AI-generated music is music created using AI. These systems leverage algorithms and machine learning to compose music, often mimicking human creativity and composition skills. AI-generated music can range from simple background tunes to complex symphonies, and it is used now used in various applications, from films and video games to commercial jingles and personal entertainment.
How Does It Work?
AI music creation involves training a machine learning model on vast amounts of music data, allowing it to learn patterns, structures, and styles to generate original compositions. Popular tools include OpenAI's MuseNet, Google's Magenta, Amper Music, Suno AI, Soundraw, Musicfy.lol, and Mubert. These platforms let users input parameters like genre, tempo, and instrumentation, then generate music based on those inputs.
For instance,OpenAI's MuseNet can generate 4-minute compositions with 10 instruments, combining styles from various genres. Google's Magenta explores the role of machine learning in creating art and music, with tools like MusicVAE and NSynth. Amper Music allows users to create music quickly by setting the desired style, mood, and length. Suno AI uses text prompts to generate custom songs, with models like Bark for vocals and Chirp for instruments. Soundraw generates royalty-free music tailored to user preferences, suitable for video production and other uses. Musicfy.lol lets users create music by selecting styles and adjusting musical elements, ideal for social media and personal projects. Mubert creates unique music from a vast library of samples, perfect for customizable background music in digital content.
Who Gets Paid?
The question of who gets paid for AI-generated music is complex and still evolving. Here's a breakdown of the key players:
AI Developers and Companies
The companies and developers who create and maintain the AI platforms are often compensated through subscription fees, licensing agreements, or direct sales of their software. For instance, users might pay to use an AI music generation service or to license the music produced by the AI.
Content Creators and Users
Content creators who use AI tools to produce music can monetize their creations in several ways. They can sell or license their AI-generated tracks, use them in monetized videos or games, or incorporate them into commercial projects. The revenue from these activities goes to the creators, though they may owe a portion to the AI platform if it operates under a revenue-sharing model.
There are several companies that offer revenue-sharing models, allowing creators to monetize their AI-generated tracks. Notably, Boomy enables users to create AI-generated music and monetize it by submitting their tracks to major music platforms like Spotify and Apple Music. While Boomy retains copyright, users can still earn revenue through streams and other forms of digital distribution.
Another significant player in this field is Suno AI. Suno AI allows users to generate music using text prompts, emphasizing the democratization of music creation. The platform has partnered with major companies like Microsoft to integrate its models, suggesting potential monetization avenues for creators, even though specific revenue-sharing details are not fully outlined.
Musicians and Rights Holders
However, the use of AI in music creation has sparked significant legal debates, particularly concerning copyright issues. If AI-generated music is based on or uses existing copyrighted material, the original musicians and rights holders should receive royalties or licensing fees. This area remains legally murky, with ongoing debates about fair use and copyright implications of AI-generated works.
Several major music publishers, including Universal Music Group, Sony Music, and Warner Music, have recently filed lawsuits against AI companies for using their copyrighted lyrics without consent.
Examples of Successful AI-Generated Music
Amper Music and Taryn Southern
One of the most notable examples of AI-generated music is Taryn Southern's album "I AM AI," released in 2017. Southern used Amper Music, an AI composition tool, to create the album. "I AM AI" was one of the first albums to be entirely composed with AI, and it garnered significant attention for its innovation and quality.
Daddy’s Car by Flow Machines
In 2016, Sony CSL Research Laboratory's Flow Machines AI composed a song called "Daddy’s Car." The AI was trained on a dataset of songs from various genres and styles, and it generated a Beatles-inspired pop tune. The song received widespread media coverage and demonstrated the potential of AI to create music that closely resembles human compositions.
DeepBach
DeepBach is an AI model developed by researchers at Sony CSL Research Laboratory, capable of generating chorales in the style of Johann Sebastian Bach. The compositions produced by DeepBach have been praised for their stylistic accuracy and complexity. The AI's ability to replicate Bach's intricate harmonies and counterpoints highlights the advanced capabilities of AI in music creation.
AIVA (Artificial Intelligence Virtual Artist)
AIVA is an AI composer recognized by the French author’s rights society SACEM. It has composed music for various purposes, including video games, films, and advertisements. One of AIVA’s notable achievements is composing the soundtrack for the short film "Let’s Create," which received positive reviews for its emotional depth and complexity.
The Future of AI-Generated Music
The future of AI-generated music is both exciting and uncertain. As AI technology continues to advance, we can expect to see even more sophisticated and diverse compositions. However, the legal and ethical questions surrounding authorship, copyright, and compensation will need to be addressed to ensure a fair and sustainable ecosystem for all stakeholders. AI-generated music represents a fascinating intersection of technology and creativity. While it offers new possibilities for music creation and opens up opportunities for those without traditional musical training, it also raises important questions about compensation and intellectual property. As the industry evolves, it will be essential to find a balance that rewards both the original artists whose songs trained the AI tools, and the users who turn those tools into art. For more insights into the world of AI and music, stay tuned to our blog for the latest updates and discussions.
For more insights into the world of AI and music, stay tuned to our blog for the latest updates and discussions.