Show HN: Polymath: Convert any music-library into a sample-library with ML

[samim]

https://github.com/samim23/polymath

Polymath is a open-source tool that converts any music-library into a sample-library with machine learning. It separates songs into stems, quantizes to same BPM, detects key and much more. A game-changing workflow for music producers & DJ

[westurner]

Other cool #aiart things:

- "MusicLM: Generating music from text" https://news.ycombinator.com/item?id=34543748

- /? awesome Generative AI site:GitHub.com https://www.google.com/search?q=awesome+generative+ai+site%3...

- #GenerativeArt #GenerativeMusic

- BespokeSynth DAW: https://github.com/BespokeSynth/BespokeSynth :

> [...] live-patchable environment, so you can build while the music is playing; VST, VST3, LV2 hosting; Python livecoding; MIDI, [...]

[westurner]

> Using Polymath's search capability to discover related tracks, it is a breeze to create a polished, hour-long mash-up DJ set

https://github.com/samim23/polymath#how-does-it-work :

> How does it work?

> - Music Source Separation is performed with the [facebook/demucs] neural network

> - Music Structure Segmentation/Labeling is performed with the [wayne391/sf_segmenter] neural network

> - Music Pitch Tracking and Key Detection are performed with [marl/Crepe] neural network

> - Music Quantization and Alignment are performed with [bmcfee/pyrubberband]

> - Music Info retrieval and processing is performed with [librosa/librosa]

[an_aparallel]

Bloody hell...seriously...the rate at which stuff comes out is just baffling. samim - do you have examples of this in use? I've kinda dreamed of something like this for some time!

[linuxdeveloper → an_aparallel]

This is mind blowing. The results are incredible.

I just made this track using Polymath, remixing Trentemøller's Moan and Guido Schneider's Oh My Buffer.

Hope you enjoy.

https://soundcloud.com/epsilonrecords/moan-on-acid-trentemol...

[an_aparallel → linuxdeveloper]

nice - more motivation to try this :)