I don't think we're very far off, personally, but it's going to be a discussion of originality and quality as well. We do have some things that already exist for procedural music generation, and I suspect the same transformers we're using for text and image generation can be used to arrange previously known music arrangements together into new pieces, however these segments of reused music will likely be very recognizable and the result will sound derivative.
Imagine a new song that contains the opening chords of Thriller, the common refrain from Africa, and some very recognizable Bon Jovi. It's music, it's AI generated, but is it truly original?
These are just my suspicions as someone who is musically illiterate but a data science student and speaker in the community.
I'm a friendly, non-dev, cisgender guy from NC who enjoys playing music/making noise, hiking, eating veggies, and hanging out with my best friend/wife + our 3 kitties + 1 greyhound.
Appreciate ya weighing in here, Matt! I'm fairly musically literate, but lacking in the data science knowledge.
Current procedurally generated music aside, I think you're right that it's gonna be tough for AI to create something original if all the data is pulled from existing songs.
Funny thing though, musicians copy musicians all the time. Whole genres can come into existence by people imitating their musical heroes! However, inspiration and imitation sometimes leads to new breakthroughs and potential sub-genres — which I'm not so sure would happen with AI. Then you also have musicians who just experiment with new sounds constantly and occasionally discover stuff through accident (thinking about how Peter Gabriel is credited as discovering the gated reverb sound of the 80's). I'm not entirely sure if AI is going to create those same accidents... it may, but I think it'll take a human to recognize the accidents as something interesting and see the potential.
It's an interesting field. I think artistically, creatively, and even legally we're just beginning to discover our relationships with AI generated content, be it music, art, paragraphs, or code.
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I don't think we're very far off, personally, but it's going to be a discussion of originality and quality as well. We do have some things that already exist for procedural music generation, and I suspect the same transformers we're using for text and image generation can be used to arrange previously known music arrangements together into new pieces, however these segments of reused music will likely be very recognizable and the result will sound derivative.
Imagine a new song that contains the opening chords of Thriller, the common refrain from Africa, and some very recognizable Bon Jovi. It's music, it's AI generated, but is it truly original?
These are just my suspicions as someone who is musically illiterate but a data science student and speaker in the community.
Appreciate ya weighing in here, Matt! I'm fairly musically literate, but lacking in the data science knowledge.
Current procedurally generated music aside, I think you're right that it's gonna be tough for AI to create something original if all the data is pulled from existing songs.
Funny thing though, musicians copy musicians all the time. Whole genres can come into existence by people imitating their musical heroes! However, inspiration and imitation sometimes leads to new breakthroughs and potential sub-genres — which I'm not so sure would happen with AI. Then you also have musicians who just experiment with new sounds constantly and occasionally discover stuff through accident (thinking about how Peter Gabriel is credited as discovering the gated reverb sound of the 80's). I'm not entirely sure if AI is going to create those same accidents... it may, but I think it'll take a human to recognize the accidents as something interesting and see the potential.
It's an interesting field. I think artistically, creatively, and even legally we're just beginning to discover our relationships with AI generated content, be it music, art, paragraphs, or code.