Polymath

Polymath is a cutting-edge tool that uses machine learning to transform any music library into a music production sample-library, facilitating a more efficient workflow for music producers, DJs, and ML audio developers.

Features

• Music Source Separation: Utilizes the Demucs neural network to separate songs into distinct stems like beats, bass, etc.
• Structure Analysis and Quantization: Analyzes musical structures, quantizes to a consistent tempo, and aligns beats using advanced neural networks and pyrubberband.
• Pitch Tracking and Key Detection: Employs Crepe neural network for accurate music pitch tracking and key detection.
• MIDI Conversion: Transforms audio to MIDI, making digital audio workstation integration seamless.
• Intuitive Search Function: Enables easy discovery of related tracks for quick creation of new compositions or DJ sets.

Use Cases:

• Music Production: Producers can effortlessly blend beats, basslines, and other elements from different songs to craft unique tracks.
• DJing: DJs can rapidly create polished mash-up sets by searching and integrating quantized tracks of the same tempo.
• Machine Learning Projects: ML developers can streamline the creation of large music datasets for training generative models.

Polymath stands as a revolutionary tool that redefines the process of music creation and analysis, democratizing access to high-level music production techniques through ML technology.