Polymath

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), analyzes musical structure (e.g. verse, chorus, etc.), key (e.g C4, E3, etc.) and other infos (timbre, loudness, etc.), and converts audio to midi. The result is a searchable sample library that streamlines the workflow for music producers, DJs, and ML audio developers.

Key Features of Polymath

• Automatic music separation into stems (beats, bass, etc.)
• Quantization to a unified tempo and beat-grid
• Musical structure analysis (verse, chorus, etc.)
• Key detection
• Audio to MIDI conversion
• Searchable sample library

Use Cases for Polymath

• Combining elements from different songs to create new compositions.
• Creating mash-up DJ sets.
• Creating large music datasets for training generative models.