Polymath uses machine learning to convert any music library (e.g from Hard-Drive or YouTube) into a music production sample-library. The tool automatically separates songs into stems (beats, bass, etc.), quantizes them to the same tempo and beat-grid (e.g. 120bpm) and analyzes musical structure (e.g. verse, chorus, etc.), key (e.g C4, E3, etc.) and other infos (timbre, loudness, etc.). The result is a searchable sample library that streamlines the workflow for music producers, DJs, and ML audio developers.
Discover similar tools to enhance your workflow
GPU Everything. Run anything Dockerized. Run autoscale Inference. Save costs 50-90%.
This Visual Studio Code extension allows you to use ChatGPT combined with our Fine-Tuned GPT3 Cod...
With Shaped, you can build powerful ranking models that understand the content your users are mos...