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Show HN: I trained an AI model on 120M+ songs from iTunes
321–330 of 444 posts
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#322Earlier quoted context omitted.
Categorising music is surprisingly different. See this paper from https://everynoise.com/ : https://everynoise.com/EverynoiseIntro.pdf IIRC they try to classify music on 17 different points/features. What you see on the web is an attenpt to visualise (and provide a guide to music based on) some of them
Yes. I think many of those features are based on pre-NN feature detectors (such as BPM), and Danceability, Valence and Energy sound like primary components that have been given names. Echo nest was great for its time, but if they have kept up, they're not exposing their more modern learned features to users anymore.
They were acquired by Spotify, and there's been some work done by/for Spotify since then.
I'm not at liberty to say what, sadly, as I work for Spotify.
I think I can say that one of the main challenges is running this analysis for users. It's prohibitively expensive (or was prohibitively expensive) to use this to keep track of and run recommendations for what users are listening for each user.
It can be used on smaller scales, but, well, it's probably NDA :)
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#323Earlier quoted context omitted.
um, isn't that just the Apple Music paid subscription service, their Spotify competitor? They only advertise ("over") 100M songs though, I'm not sure where the extra 20M come from. https://music.apple.com/subscribe
Sure, but it really can't be as simple as paying $10 for the month and looping through the entire catalog and downloading it...right? Did nothing in their system catch millions of simultaneous track requests and a petabyte+ data transfer for a single user?
Why would that be against the TOS?
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#324Earlier quoted context omitted.
Discogs is great, it just doesn't concern it self with how the music sounds...
Which is unfortunate because it has (on a tiny number of releases) instruments and vocal tags. It's just so unreliable. AllMusic is another decent source for tags, but not instruments. It's the age-old problem with ML/AI: data quality. Garbage in, garbage out. If only we could crowd-sourcev listeners and get them to tag music from a list of available moods, instruments etc. Oh wait .. that's exactly the feature that…
rateyourmusic.com is an alternative to allmusic.com while chosic.com focuses on finding music.
The later has generated more similar music for me so far. But I welcome every additional project improving the search for music which has been so neglected by most services.
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#325It seems to be finding snippets of songs similar to snippets. I tried on Metallica - Unforgiven III, which starts off with a slow piano composition, and then enters a riff and cuts out.
It ends up recommending piano songs, many Korean ones.
There's some interesting ones like Ghost - Cirice, where it finds other songs with similar riffs. I like Ghost's music in general, just not the Satanic themes, so this is a great tool for finding similar music.
I'm somewhat amused that it doesn't match Under Pressure with Ice Ice Baby.
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#326Search doesn't work in a recent Firefox on Windows - typing anything in the search box shows the "Loading..." dropout below it and then nothing happens. This generates no network activity and the console shows: Cross-Origin Request Blocked: The Same Origin Policy disallows reading the remote resource at https://cdn.segment.com/v1/projects/F4GFNelOpRsgUJc6iwTuiXr2t6AH5LCY/settings. (Reason: CORS request did not succee…
Weird, I'm using Firefox with uBO and it's working fine.
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#327I just wanted to quickly THANK EVERYONE for taking the time to check this project out and give your feedback! I honestly didn't expect this project to get this much traffic -- I really can't express my emotions via text rn lol. I'm working on an improved AI model that should address a lot of the shortcomings of the current one, along with a lot of other features people have mentioned (playlists, deduplicating results…
You should add an option to donate.
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#328it is not the typical "song radio" approach that would provide more a popularity / artist similarity based playlist but a real "similar song" google like search.
I think that is valuable to discover new music, especially to find unknown artists. But if someone were to embed it into streaming clients that would need to be a different feature too, probably more search related.
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#329Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#330How much does it cost to access this dataset at Apple?