3 ms·
Supposedly, the "pros" use a combination of one-step key shifts, similar tempos, and slowly ascending "energy" (which I've never found a good definition of) to
by at_a_remove 3y ago
Supposedly, the "pros" use a combination of one-step key shifts, similar tempos, and slowly ascending "energy" (which I've never found a good definition of) to pick the next song. Key-finding algorithms don't seem to be particularly accurate from what I have heard of.
Ideally, you'd use this, plus the year and metadata about whatever microgenre. Use the radio adage of "don't hit me with a brick after you tickle me with a feather."
Occasionally do a "two from Band X" or "three from the year NNNN." I would probably weight the microgenre in the metadata by how rare it is: "rock" isn't particularly descriptive as compared to "doom rock" or "Southern rock."
- troupo 3y agoIt's almost impossible to define those microgenres per song because the metadata for music is shit :) Spotify does try to do it, but it's not an exact science: https://everynoise.com https://everynoise.com From https://everynoise.com/EverynoiseIntro.pdf https://everynoise.com/EverynoiseIntro.pdf --- start quote --- There are other ways to plot music genres, of course, than the one used by the map at any given time. We use 10 dimensions internally, and two completely independent measures of genre similarity. Iʼve flipped the map once already since first publishing it, and I might do so again without warning if I find another configuration that seems more interesting. --- end quote ---
- at_a_remove 3y agoOh, yeah, it's messy. Still, I was thinking MusicBrainz for some of it.