AI and music production are now closely interconnected. AI is growing in a range of industries, and music production is one of those that has been most profoundly affected.
The many roles of AI in music are varied. They range from the composition of original melodies to the translation of sound into sheet music.
AI tools can be used to clear up audio tracks, manipulate vocals and instruments, and automate various processes.
AI is also making an impact beyond music, particularly in entertainment and gaming.
The online gambling industry, for example, uses AI to enhance user experience, improve game fairness, and detect responsible gambling behaviors.
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However, with all of the benefits of AI comes a range of new challenges for music producers.
In a world of AI-generated content, how does a creative survive? What constitutes ‘real’ music?
Is AI-generated music ever truly original? In this article, we’ll be exploring these questions and more.
AI in Music Composition and Songwriting
AI is impacting the way that songs are written, in terms of both lyrics and melody, as well as how the post-production process works.
These tools have provided musicians and producers with an arsenal of new ways to create.
AI-generated music is increasingly commonplace. For instance, AIVA has been used to generate orchestral soundtracks for independent films and video games.
Amper Music, on the other hand, generates background scores that musicians can then play over.
OpenAI’s MuseNet has multi-instrumental capabilities, often basing its creations on the signature styles of famous classical composers.
It’s also had some success in blending genres, creating entirely new styles of music.
AI lyric writing is still comparatively niche, with many creatives claiming that AI will never be able to capture the essence of great, original lyrics.
However, some entire albums, such as Taryn Southern’s album I AM AI, have been crafted using AI-generated lyrics.
AI in Sound Design and Mixing
High-quality production values are more attainable than ever, with many AI-powered tools now geared towards mastering and refining musical productions.
Through the use of tools such as these, it’s possible for amateur music producers to achieve high standards of mixing, EQ balancing, compression, reverb, and stereo imaging.
Previously, these tasks were handled by experienced and talented individuals, but they were time-consuming and costly. Examples of tools for mixing and mastering music include:
| Tool | Uses |
| iZotope Ozone | This is a comprehensive mastering tool driven by AI. It has a huge range of applications and has been used in many different contexts with great success. |
| LANDR | This is one of the least labor-intensive options, essentially mastering and enhancing audio tracks automatically. LANDR is undoubtedly one of the most user-friendly options. |
| iZotope Neutron | Neutron includes an AI-powered mixing assistant, which is capable of guiding those who are unfamiliar with the process through mastering. It covers EQ balancing, compression, transient shaping, and spectral balancing. |
| Sonible smart:EQ 3 | For fixing issues with an audio track, few options are better than Sonible smart:EQ 3. This program uses AI to detect and resolve imbalances and problematic frequencies. |
| Waves CLA MixHub | Waves CLA MixHub is only partially AI-powered, giving a greater level of control to the user. It was inspired by legendary sound engineer Chris Lord-Alge and uses a lighter touch approach. |
| Mastering The Mix EXPOSE | This AI music remixer option possesses the ability to translate audio into visual feedback, providing data regarding clipping, dynamic range, and various issues. |
| Spleeter by Deezer | If you’re looking to isolate particular elements of a track, then Spleeter is probably the answer. This is the perfect tool when it comes to splitting tracks for remastering. |
Ethical and Creative Concerns
The rise of AI has prompted a number of important and often heated discussions about its impact on creatives.
Subjects such as intellectual property rights and the question of who actually owns AI-generated content have raised concerns in many circles.
Some positions, such as music producers, are already suffering due to the advent of AI mastering tools like those mentioned above.
There’s even some debate over whether AI could replace musicians altogether.
On one hand, the arrival of AI levels the playing field and democratizes the creation process.
On the other, there are trained professionals who are losing out to AI. It’s also often, but not always, the case that the work done by AI is weak and derivative.
There are also those who view AI as simply another tool with which to create. These artists embrace new technologies and employ them to create unique pieces of music.
There are many complex ethical and moral debates to be had about how AI becomes integrated into our lives, and this is especially true of creative industries like music production.
These conversations will take time, as will determining what sort of regulations are necessary to protect creatives.
Best AI Music Generator Options
We’ve already looked at tools designed for mixing and mastering, so let’s look at the tools that creatives can use to actually generate music, lyrics, sheet music, or even all three.
AI Music Generator With Lyrics Tools
Some tools can generate both music and lyrics. Here are a few of the prevailing options in this category:
- Boomy: Generates music and uses AI to provide lyric writing assistance.
- ChatGPT: A popular AI chatbot that can be used to generate lyrics but not music.
- Jukebox: A tool from the industry-leading OpenAI, which generates both music and lyrics.
- Uberduck: An AI tool geared towards creating rap lyrics and voice synthesis.
AI Sheet Music Generator Tools
Some of the most advanced tools are capable of producing sheet music to accompany audio, or producing sheet music alone, which can then be played by a real band.
Here are some of the leading sheet music generation tools:
- AIVA: Can generate sheet music aimed at classical musicians.
- MuseScore AI: Can transcribe audio into sheet music, allowing creatives to produce sheet music of recordings.
- Flat AI: An online notation tool that uses AI to provide collaboration features.
- AnthemScore: This tool simply translates audio files into sheet music for posterity.
Conclusion & the Future of AI in Music Production
AI-powered tools and plugins are already commonplace in the music industry, and they have many different applications.
Various AI companies have developed audio-centric software, which has been embraced by some and rejected by others. Some of the uses of these tools include:
- Generating music from scratch
- Writing sheet music
- Producing lyrics
- Mastering recordings
Things are progressing and evolving rapidly, and there’s no way to accurately anticipate where AI will go from here.
What we can be sure of is that the tools we’ve mentioned here will continue to develop, and their use will likely become more widespread.
Collaboration between humans and AI will likely become the norm. What we need to be careful of is that AI doesn’t ever replace human creativity. It should simply be considered another tool for facilitating artistry.
