Please remove the trackers so I can use search w/o using incognito mode.
Show HN: I trained an AI model on 120M+ songs from iTunes
141–150 of 444 posts
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#142How does your approach compare to
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#143Loading … Beef it up before posting on HN?
It chokes if you have any adblocker or anti-tracking.
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#144Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#145I tried "norwegian wood" and got a lot of acoustic guitar with strong down/up strokes but nothing musically similar. Beatles they weren't.
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#146Possible bug: I keep getting an error when I try to find similar songs to any song by Neutral Milk Hotel. (For example: O Comely, King of Carrot Flowers Part I)
https://maroofy.com/songs/5611590
Love your application! Great job. Found some very surprising similarities to many songs that I tested.
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#147I’m not able to paste into the song field, a little frustrating. Otherwise, this has caused me to sign up for Apple Music.
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#148This is very interesting, but unfortunately I haven't had the greatest luck in finding new songs I would enjoy listening to. It absolutely finds similar sounding tracks, but it doesn't distinguish which part of the song made it enjoyable. There's no tempo consistency or genre consistency or even main instrument/vocal timbre consistency between recommendations. I think locking one or more of those dimensions would all…
If I am not mistaken, it this is only trained on the preview and not on the entire song.
If you listen to a music with a real intro, it gives strange results. For example: "Goodbye Blue Sky - Pink Floyd" (https://maroofy.com/songs/1065976153)
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#149Exciting to see AI used this way. My main feedback is I'd look at incorporating other factors to rank results, not purely how similar it sounds. Audiophiles might prefer a pure similarity ranking, but that could be offered as a non-default setting if anything. e.g. I'm sometimes seeing several essentially identical tracks at the top of recommendations (also mentioned in a comment by rayshan). You probably want to pen…
If the point was to surface popular recommendations why would I go to a different Web site instead of just using what Apple Music already gives me? It has to do something different to be interesting.
Not everyone is using Apple Music (or its competition).
Even for those who are using a music platform, this project still has its unique algorithm that’s likely to surface distinct results. Partly because the developer can do their own innovation and partly because the platforms influence the algorithm in ways that aren’t necessarily aligned with users’ interests. e.g. promoting artists they have favorable relationships with.
The developer can also offer features that Apple et al aren’t offering, perhaps because it would complicate their app too much or isn’t high priority, but makes sense for a specialized tool like this. e.g. fine grained settings to filter and sort results.
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#150A good chance OP is going to hear from Apple legal, Apple recruiting, or both =)
But cool project!