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Every Noise : Massive (Sadly No Longer Maintained) Music Genre Clustering Database
Check out this massive, clustered database of what appears to be all genres and sub genres of all songs on Spotify, ever.
You can click a genre name to hear an example and search artist names to see where they cluster in the genre space.
Some weird examples:
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Georgian Electronic
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Turkish Deep House
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Greek Downtempo
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Tiajuana Electro
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Fogo Pentecostal
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Tanzanian Hip Hop
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Chinese Jazz
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Etc.
Sadly it isn’t maintained anymore as the creator no longer works as Spotify and lost their API access, but it’s a fascinating project and exactly the kind of clustering I’d love to be able to run on my local library.
Post your favourite weird sub genre finds below!
Rabbit hoooole! Goodbye Thursday work schedule
Are there any tools to apply to a local library? I've thought about creating it myself but I'd prefer something that already works haha
Nah thanks. Ishkur got me covered.
Thanks! Also to OP, both are great resources
Except Ishkur openly states both versions are just jokes and personal opinion, whereas this is based on data analysis of every song ever published on Spotify.
In any case, why is this a competition? Kind of a weird take!
I would argue that the "opinion" sections of Ishkur are what gives the site value to begin with. Every noise at once is an interesting idea, but without any description or opinion we are just left to assume how this data is being tagged/clustered. E.g. What seperates: "deep house", "deep deep house", and "deep deep tech house"? Why are "South African Deep house" and "South African Soulful Deep House" different genres? and the list of examples goes on. Interesting idea with extremely questionable clustering/tagging of data that, in my opinion, makes it completely useless.
Agreed. A synthesis of two would be awesome.
well if you read the explanation of how genres are created and clustered included on the page you would have those questions answered lmao
yeah, they have a short description of the algorithm methodology/labels, but that is very vague and nebulous (like most clustering algorithms).
"The calibration is fuzzy, but in general down is more organic, up is more mechanical and electric; left is denser and more atmospheric, right is spikier and bouncier"
They say themselves that the calibration is fuzzy, which aligns with what I was saying. That much is obvious when South African Soulful Deep House is separate from South African Deep House. Common sense says those are similar enough to be grouped together. Ultimately, this algorithmic approach needs more fine tuning to actually be useful, so many things are inaccurate or mislabeled.
Not competition, more personal preference. u/masternavajo said it the way I was about to type.
Yeah fair enough! Both combined would be awesome
Iirc Ishkur's main criterion for including a genre was 'Is there a scene around this sound?' I'd love to see the giant heap of genres from your source filtered by that. Especially regarding recent forms of pandemic style online collaborations or VR events.
Ishkur is basically completely fictional. If you just make up your own genre definitions it will be just as accurate.
Example: Funk comes from a genre called Moog in the category of Downtempo, closely related to a parent genre called Soundtrack.
Its utter gibberish.
Makes sense considering the focus on electronic music.
Those are just as fanciful. Ishkur is only useful as a lesson in how the internet spreads misinformation, it’s not a useful way to understand how electronic music evolved.
Did you read any of the articles or are you just comparing genre names?