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Show HN: I trained an AI model on 120M+ songs from iTunes

maroofy.com

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Re: Show HN: I trained an AI model on 120M+ songs from iTunes

#111

There is nothing like "Crimson and Clover"? https://maroofy.com/songs/59412471

Yeah, typed in Ultravox's Just For a Moment. After the 4th or 5th suggested rap song I clicked I just gave up.

It's true though, there is nothing else quite like Crimson and Clover. I'm pretty sure when I was 5 years old and first heard that song it caused me to trip. Strawberry Fields Forever is like that too, you get high just listening to it. ;-)

Re: Show HN: I trained an AI model on 120M+ songs from iTunes

#113
post #74
post #38

How did you scrape the audio of 120M songs? That sounds expensive?

Probably just used the previews (makes sense, songs tend to keep their rhythm throughout).

Lots of industrial metal has a drawn out start before the actual song lol

Re: Show HN: I trained an AI model on 120M+ songs from iTunes

#114

Earlier quoted context omitted.

Honestly it's loads better than current Spotify/YouTube Music suggestions. Mostly they just seem to suggest popular stuff that's heavily marketed...even though I seeded all my "thumbs up" with only eclectic stuff. Yes, it's hard to find a song I really really like, but 1-in-10 seem to be something I'd add to my eclectic "thumbs up" playlist. And almost none of them are by any artist that I've heard of before. This is…

I never get any heavily marketed music recommended on Spotify. Almost invariably it's something obscure. But I only ever listen to obscure music. I guess I'm saying I don't think the Algo is weighted for payola.

I honestly think they try first to make you happy, second to reduce their spend.

Re: Show HN: I trained an AI model on 120M+ songs from iTunes

#115

There is nothing like "Crimson and Clover"? https://maroofy.com/songs/59412471

Yeah, typed in Ultravox's Just For a Moment . After the 4th or 5th suggested rap song I clicked I just gave up. It's true though, there is nothing else quite like Crimson and Clover . I'm pretty sure when I was 5 years old and first heard that song it caused me to trip. Strawberry Fields Forever is like that too, you get high just listening to it. ;-)

Haha, true

Re: Show HN: I trained an AI model on 120M+ songs from iTunes

#116

Tried Erreur 404 by L'Impératrice[1], and I noticed the beat of the other recommended songs were eerily similar!! I'd argue your project is actually too good. Where Spotify's Discover Weekly tried to connect you to music other people listen to {B, C, D, ...} because you've listened to a particular song {A} {B...->A}, your model quite literally tried to find other music {A₂} that sounds like what you're looking for {A…

… what?

Re: Show HN: I trained an AI model on 120M+ songs from iTunes

#118
post #108

Solid work, but this only reinforces my belief that music recommendations is an area that is not (yet) cracked by AI. You can find similar songs with great accuracy, sure, but even if two songs are close to each other by all calculable metrics they can still vary drastically in subjective quality. And a quick suggestion – all my top results when searching for popular songs were songs that were either different versio…

Have you tried Gnoosic[0] yet? It's a more standard recommender system, I think. Some of the recommendations are really on point.

[0]: https://www.gnoosic.com/

Re: Show HN: I trained an AI model on 120M+ songs from iTunes

#119

Tried Erreur 404 by L'Impératrice[1], and I noticed the beat of the other recommended songs were eerily similar!! I'd argue your project is actually too good. Where Spotify's Discover Weekly tried to connect you to music other people listen to {B, C, D, ...} because you've listened to a particular song {A} {B...->A}, your model quite literally tried to find other music {A₂} that sounds like what you're looking for {A…

… what?

IIUC: Spotify seems to use something similar to collaborative filtering. People rate songs based on more than similarity, which is what this model seems to provide.
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