[D] A ML-powered music description/tag generator? (a reverse-MusicML)?

Submitted by dreternal t3_10vyvne in MachineLearning

I know there are no useful text-to-music generators (YET), but is there at least a model where you can upload/input a recording and get a text description/hashtag list from it? Like a reverse MusicML?

I have a very large personal catalog of music I am prepping for sale (approaching 500 songs), and this would be a very handy tool, especially if it came up with tags of genres/similar artists I am not aware of.

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visarga t1_j7kfvtf wrote

Try to put the data into GPT-3 and hope it knows the artists. I enjoyed its music recommendations a few times.

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[deleted] t1_j7kgneg wrote

You're prepping music for sale and you don't know how to describe it or what genre it is?

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dreternal OP t1_j7klu14 wrote

Replying to [deleted] (#1,743,315)

I do not know everything, nor have I listened to every artist or genre. My categorization and genre choices would be limited to my limited experience. Having an assistant who has that would be a great timesaver and help me get hits I would otherwise miss.

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dreternal OP t1_j7krh8s wrote

Replying to [deleted] (#1,743,944)

No. Just a composer with a very large catalog, 85-90% of which I haven't had time to properly tag and describe for sales (using just song, names or file names isn't enough, you need very, very specific tags related to the mood tempo audience, beats per minute instrument list and on and on for every song in order to have proper exposure in the various music libraries online). I've been too busy over the last 30 years writing stuff to bother with adding all this data. So with the advent of these machine learning tools, I'm hoping they can help.

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