Live data from Hacker News

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

maroofy.com

311–320 of 444 posts

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

#311

Search 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…

Turned off uBlock, still the same issue

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

#313
post #33

Earlier quoted context omitted.

Hey thanks for the feedback! I definitely have a lot of improvement to do on the model, it currently performs better for some styles/genres of music than others. But the model architecture I'm using is kinda outdated as well, gotta iterate on it more to improve it further! I'm also thinking of letting users upvote/downvote results, which can also help improve quality on the ranking side.

Another strange music for your testing that gives complete bonkers recommendations: https://maroofy.com/songs/1486467186 If you need someone to test your model, you will never find one with more eclectic/strange taste than me ;)

My contribution :

1) https://maroofy.com/songs/1443834381

2) https://maroofy.com/songs/714207207

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

#314
Dear @subtech I was curious if you tried other approaches, such as the same thing with lyrics instead of audio?

Also, you note "I’ve indexed ~120M+ songs from the iTunes catalog" -- could you share some of the libraries/tools you used and which you did or didnt like?

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

#315

Feedback: "sounds like" for music is more than just rhythm and tone. The search results are all useless for me because two songs with similar sheet music often have wildly different lyrical styles and subjects.

What would you say was the best music similarity search or recommendation engine you've used?

reddit

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

#316
I laughed a lot.

https://maroofy.com/songs/1485025897

The one of "similar-sounding" is:

"Смели Граничари Димитър Коларов & Стоянка Колева"

or

"The Brave Border Guards"

It's a very Soviet song from such a different world that if you send "Man Man" to it in a time machine, the group will immediately end up in the Gulag.

So, it's all about the "similarity" definition. But it's fun of course.

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

#319
post #24

This 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…

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.

Post reply on HN