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Comment on ListenBrainz about to hit 100k users

where I am specifically picking the artist or album, it’s always right

That’s a remarkable level of effort, these days. Yes, I know, it’s trivial compared to pulling vinyl from the sleeve and flipping it every 20 minutes the way I used to before 1985, but… I prefer to put in my music effort with focus, and let a mix algorithm surprise me when I’m not in “music picking mode.” To me, it’s much more enjoyable to hear a song I like that I wasn’t expecting than it is to think about it, navigate the list of thousands to find my pick, and then hear the thing I was thinking of.

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HeyThisIsntTheYMCA@lemmy.world ⁨19⁩ ⁨hours⁩ ago
I have yet to find an algorithm that has figured out what I like about music. So I curate my own collection. Only way it works for me.

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- MangoCats@feddit.it ⁨8⁩ ⁨hours⁩ ago
  What works for me is to have a pool of thousands of “songs I like” - but then you’ve got the mood problem: Metallica or Sarah McLaughlin? That’s what AcousticBrainz was good at: picking through my collection for similar songs and playing that “mood” from the pool of songs I’ve already indicated I like by including them in the available list to choose from.
  
  Where it excelled was at finding the outliers, like the relatively quiet Metallica song that fits with the current set.
  
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ChunkMcHorkle@lemmy.world ⁨21⁩ ⁨hours⁩ ago
It’s all good. I think it has a lot more to do with accommodating one’s own brain, and how we individually categorize and enjoy our listening, than with specifics of music like genre/artist/album/track.

For myself, I almost always have some tune or another out of nowhere running through my head, so when I choose something to listen to, I am either picking with or against what’s already playing. So if I tune in to the music that’s already playing, I can see associated choices that are the same, similar, or completely unrelated on a superficial level, but my brain has linked them all somehow. Any of those choices, if I put them on, will satisfy because my brain is already playing one and mentally I’m already there.

I think the reasons algorithms never work for me is because no one could ever follow that, much less predict it. Even I can’t. Instead I’ve learned to simply accommodate it.

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- MangoCats@feddit.it ⁨8⁩ ⁨hours⁩ ago
  
  so when I choose something to listen to, I am either picking with or against what’s already playing.
  
  AcousticBrainz has (had?) a bunch of dimensional measures of various qualities of a song. How I used it was to first define a set of maybe 4 to 8 songs to “set the mood” and then pick a list of a few hundred songs that were “closest to” those songs in all the AB dimensional measures, pre-filtering out artists and songs recently played. Then - the final step was to sort the remaining candidates by their similarity to the songs most recently played. It was still random within that list, but a weighted random with the most similar (by AB measurements) songs most likely to be queued up next.
  
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