Polymath is a tool that uses machine learning to convert any music library into a music production sample-library, automatically separating songs into stems, quantizing them to the same tempo, analyzing musical structure and converting audio to MIDI.
Features
- Music source separation with the Demucs neural network
- Music structure segmentation/labeling with the sf_segmenter neural network
- Music pitch tracking and key detection with the Crepe neural network
- Music to MIDI transcription with the Basic Pitch neural network
- Music quantization and alignment with pyrubberband
- Music info retrieval and processing with librosa
Use Cases
- Creating a searchable sample library for music producers, DJs, and ML audio developers
- Combining elements from different songs to create unique compositions
- Creating a large music dataset for training generative models
Suited For
- Music producers
- DJs
- ML audio developers