AI And Music Creation

[MaxPower]

Wow that’s bad !

They must have fed my music into the learning machine first 🙂

[AhmadNaveed]

AI is transforming music creation by offering innovative tools for songwriters and producers. With platforms like audiomodify.com, you can easily experiment with music and bring your creative visions to life!

[LAwriter]

With platforms like audiomodify.com, you can easily experiment with music and bring your creative visions to life!

Wow!!! Go figure. All this time I’ve been experimenting and bringing my music and creative visions to life with hard work, my fingers and my soul. Brave new world!!!

[Art Munson]

This topic was published in April of 2023 and a lot has changed since then. I still think AI can be a useful tool. As an example:

I’ve never been much of a singer but decided I had some tracks that I wanted to put my voice on. I haven’t sung since the early 80s but recently decided my 84 year old voice was not what it once was.

Because I’m a digital hoarder and have all of my project files from that time, I decided to use my 40 year old voice on tracks I had lying around. Through the years I have transferred my 8, 16 and 24 track projects to ADAT and finally to my DAW (Cakewalk). I took all my vocals from 40 years ago, stripped out the dead air, combined them into one track, Melodyned (tuned) them and created a dataset of my 40 year old voice on Kits.ai. I then sang the tracks, as best I could, tweaked the pitch, uploaded them back into Kits and used my dataset to create new vocals. Downloaded the vocals, tweaked them a bit more with Melodyne and also created harmony parts and voila! Works a treat.

I also had a track where I could not find the project files and I wanted to be able to put my voice on it. I was able to create stems from the mix and it was workable enough to be able to do just that. Eventually I found the project files so I did not have to go that route.

The point is, I feel I have just scratched the surface of useful things I can do with AI.

[Advice]

Hey Art
A lot of libraries specifically say they won’t sign anything if AI is used to generate any tracks. I don’t know if that includes doing your own singing and having the voice changed with AI. It could be problematic. How do we know the voice they use isn’t a rip off of (or too close to) some artist’s voice? Or too much the same as a lot of other tracks? I’d tread carefully.

🙂

[Art Munson]

@Advice. The dataset was created with my voice and the end result is it sounds like me from that time. I don’t currently plan to use these for production music, just streaming. Then again, this is new territory that’s constantly evolving.

[yzzman1]

I don’t think those of us that are working in music for a living are going to get excited about “AI-DRIVEN music” as you are mentioning.

[Art Munson]

@yzzman1: Yes, I agree. He was just promoting some bogus AI site. I deleted his comment.

[Art Munson]

I recently tried mastering a track using AI and was able to use a reference track. Actually came out pretty good. I use Ozone 11 and have been using all iterations of Ozone since version 4. Not sure I would abandon Ozone at this point but I was surprised how decent it sounded.

[Art Munson]

An article titled “CEO Keynote: AI in the Music Industry – Should You Fight It, Ignore It, or Embrace It?” by Helmuts Bems, CEO of Sonarworks, explores the impact of AI on the music industry. The keynote presents research-driven insights to ignite industry discussions on AI in music production. In 2024, reports claimed that Spotify was increasingly serving AI-generated content to its user base, raising questions about the future of AI in music. The article aims to provide a framework for understanding this impact.

In 2022, Sonarworks formed a think tank to understand AI’s impact on the music industry. They conducted over 100 interviews with industry professionals and consumers, gathering diverse opinions from CEOs, Grammy-winning engineers, artists, and casual music listeners. The main focus is on music production, but broader industry questions are also addressed. The goal is to initiate discussion and gather feedback, as the future remains uncertain.

The article highlights the cyclical and disruptive nature of the music industry, with massive revenue disruptions every 10 years. For example, the decline in CD sales took 10 years and reduced overall industry revenue from $26 billion to $8 billion. AI meets all the criteria to be the next big disruptor, with adoption rates growing rapidly. The article explores whether AI-generated music is the future or just hype, analyzing its impact on music production, distribution, and industry stakeholders.

Overall, the article emphasizes the importance of diverse opinions and discussions to prepare for the future of AI in the music industry. You can read the full article here:
https://www.sonarworks.com/blog/research/ceo-keynote-ai-in-the-music-industry-2025

[daveydad]

It doesn’t keep me up at night…… yet.

[MaxPower]

I was terrified of AI when I first heard it and now I use it for literally everything and it’s the best toy I’ve ever had! It’s just a tool like all the other cool things that have been invented down the years. When you learn how to use it and to ‘speak its language’ you can get it to do pretty much everything. I feel like all the limitations I had as a musician and music creator have been removed.

[Author]

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