Of course, musicians have been experimenting with electronic audio for a very long time; EDM and festivals like Ultra didn’t appear out of nowhere. But computer-generated music often sounds manipulated from existing audio. AudioCraft and other generative AI-produced music create those sounds just from texts and a vast library of sound data.
Right now, AudioCraft sounds like something that could be used for elevator music or stock songs that can be plugged in for some atmosphere rather than the next big pop hit. However, Meta believes its new model can usher in a new wave of songs in the same way that synthesizers changed music once they became popular.
“We think MusicGen can turn into a new type of instrument — just like synthesizers when they first appeared,” the company said in a blog. Meta acknowledged the difficulty in creating AI models capable of making music since audio often contains millions of points where the model does an action compared toThe company says AudioCraft needs open sourcing in order to diversify the data used to train it.
“We recognize that the datasets used to train our models lack diversity. In particular, the music dataset used contains a larger portion of Western-style music and only contains audio-text pairs with text and metadata written in English,” Meta said. “By sharing the code for AudioCraft, we hope other researchers can more easily test new approaches to limit or eliminate potential bias in and misuse of generative models.
Record labels and artists have already sounded the alarm on the dangers of AI, as many fear AI models take in
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