alt Hacker Newsno idea how spotify ai specifically works (i don't use that service) but:
> fitting the track into the set as a whole. It’s not a random music discovery process
there have been plenty of attempts to analyze music and to automate track matching like the music genome (going back to '99) and while human DJ's definitely have their place (i actually listen to lots of those) it's not inconceivable that a lot of modern music could also be mixed and matched automatically with at least half-decent (to a human) results.
P.S. found the article itself pretty funny - like a nerdy, methodical complaint, just funny to read
Replies
Check out Paul Lamere's talk about playlisting that he presented at ISMIR 2010 (The International Society for Music Information Retrieval has conferences about all this stuff, and Paul founded The Echo Nest, which Spotify later bought):
ISMIR: The International Society for Music Information Retrieval
Finding a path through the Jukebox: The Playlist Tutorial:
https://musicmachinery.com/2010/08/06/finding-a-path-through...
>Tutorial 4: Finding A Path Through The Jukebox -- The Playlist Tutorial. The simple playlist, in its many forms -- from the radio show, to the album, to the mixtape has long been a part of how people discover, listen to and share music. As the world of online music grows, the playlist is once again becoming a central tool to help listeners successfully experience music. Further, the playlist is increasingly a vehicle for recommendation and discovery of new or unknown music. More and more, commercial music services such as Pandora, Last.fm, iTunes and Spotify rely on the playlist to improve the listening experience. In this tutorial we look at the state of the art in playlisting. We present a brief history of the playlist, provide an overview of the different types of playlists and take an in-depth look at the state-of-the-art in automatic playlist generation including commercial and academic systems. We explore methods of evaluating playlists and ways that MIR techniques can be used to improve playlists. Our tutorial concludes with a discussion of what the future may hold for playlists and playlist generation/construction.
The Echo Nest:
https://en.wikipedia.org/wiki/The_Echo_Nest
Paul's blog:
And github repo:
I don’t think it’s impossible or anything, I just don’t think it would really result in anything particularly interesting. The best DJs often add such an obscure reference or song, dialogue from a movie, etc. that comes from their own individuality. Music recommendation systems seem to mostly operate on a tagging/descriptive basis, because obviously they don’t have real lives to draw these references from.
If an AI would make interesting DJ mixes that aren’t merely collections of similar music, I think they’d need to be constructed in a totally different way.