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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.
ML-powered tool to convert music libraries into searchable sample libraries for music production.
- Combining elements from different songs to create new compositions.
- Creating mash-up DJ sets.
- Creating large music datasets for training generative models.
- Add songs from your hard drive or YouTube to the Polymath library. The tool automatically analyzes
- separates
- quantizes
- and converts the audio. Use the search function to find similar songs and create mixes.
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