Comment by troupo
18 hours ago
Thank you!
This will likely have a lot of false positives on a lot of genres. E.g. I suspect genres like synthpop and trance (and a lot of other electronic music) will likely hit a lot of those points with regards to music and sampling.
Lyrics are also not a given (when they are likely curated by humans). E.g. compare the song I referenced (https://dumpstergrooves.bandcamp.com/track/he-talked-a-big-g...) to, say, Taylor Swift's current most listened to song: https://genius.com/Taylor-swift-the-fate-of-ophelia-lyrics I'd chose the AI one in a heart beat :)
I wonder if a combination of all of those may work for a subset of songs, but I don't think you can do it with any confidence :(
> I wonder if a combination of all of those may work for a subset of songs, but I don't think you can do it with any confidence :(
Thats a solid point. Pretty much all of my ideas are probabilistic. I suspect you're right and it will have to work a bit like spam detection, where each "fail" for a test is seen as one indicator that adds to a score. Then above a threshold score it's flagged for further review and sent to a "spam" folder where a human can judge.