As you’ll see below, I asked it for five samples with similar vibes to Tijuana Brass. Sure, most of its training data is from 2021 and earlier, but this isn’t a big issue as there’s a plethora of great tunes to choose from that predate even the 21st century. ChatGPTĭespite some of the sillier things I’ve asked ChatGPT to do, it didn’t take me long to realize that it could actually be another incredibly useful tool for musicians looking to find samples-and even lyrics. Nothing special, but it’s more than enough to get the creative juices flowing. Along with the prompts (see the photo above for an example), I also have control over melodic patterns, creativity, tempo, and that’s about it. The app analyzes the peaks and valleys, and proceeds to translate the physical form into music the same way a record player interprets sound from the ridges on vinyl. The white slab that you see to the left of the screen is the image Riffusion synthesizes.
Screenshot of a song that Riffusion generated Courtesy Matt Crisara However, it can absolutely provide a musician with a cool riff or beat that they could use in their work. Using Stable Diffusion-yes, the same platform that creates images-Riffusion is able to create an image that’s then synthesized to create “music.” I use the quotations there sparingly as many of the ideas it spits out are not only low-fidelity but also quite basic. This super lightweight web app was one of the first AI music models I began playing around with. That’s why a huge library of training data, from varied sources, is key to this process.
Like a virgin song writer generator#
But if you only teach the system with the greatest hits from the Beatles, for instance, any melody that the AI music generator would produce after that training period would sound a whole hell of a lot like.
Like a virgin song writer software#
Specifically, the software must be fed vast amounts of training data (here, examples of music) and process it. ✅ How Do AI Music Generators Work? Much like AI image generators and text-based AI tools, AI music generators rely on deep learning-a machine learning method in which computers process data in a way that mimics the human mind-to create an output. Most of these tools are much simpler to use than ChatGPT, Midjourney, and some of the other models we’ve written about previously. However, this basic idea made me realize that these programs are helpful for ideation in song creation, and not necessarily “cheating” and doing the musician’s whole job. Messing around with Riffusion, it didn’t take long to realize that none of the music is necessarily Spotify ready out of the box-I guess it also helps to have even a lick of musical talent. ( The New York Times recently chronicled an AI Drake hit that briefly went viral before being stripped from streaming services, and spoiler alert, he was not happy.) The AI music generators we tested are legitimate tools, unlike the voice changers you may have seen that can make anyone sound like Drake. It’s important to note that some of these programs can generate music-but we’re still far from being able to push a button to churn out a one-hit-wonder. What’s The Deal With AI Music Generators?
It’s time we embrace this new technology as a helping hand rather than disavow it as a doomsday device, and we hope this guide will help you get your feet wet. We chose a couple of our favorite tools for simplifying music production and put them to the test, demonstrating a real-world scenario in which this technology could be used for good instead of evil. Despite widespread hysteria that artificial intelligence will make most of our jobs irrelevant, it could actually streamline the workflow for plenty of professions-including music production. Generative AI has taken the internet by storm with its ability to spit out images and blobs of text based on user queries.
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