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Convert any music library into a music production sample-library with ML.

May 21, 2023

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It is an innovative tool that harnesses the power of machine learning to transform any music library, whether stored on a hard drive or sourced from platforms like YouTube, into a comprehensive music production sample library.

Key Features:

  1. Automated Stem Separation: It employs machine learning algorithms to automatically separate songs into individual stems.
  2. Tempo and Beat-Grid Quantization: Polymath goes beyond simple stem separation. It quantizes the separated stems to the same tempo and beat-grid, such as 120 BPM (beats per minute).
  3. Musical Structure Analysis: It machine learning algorithms analyze the musical structure of the songs, identifying sections such as verses, choruses, bridges, and more.
  4. Key and Additional Metadata Analysis: In addition to the musical structure, it analyzes the key of the songs, providing information about the musical scale and tonality (e.g., C4, E3, etc.). Furthermore.

Ideal Uses:

  1. Music Production: Polymath is an invaluable tool for music producers, providing them with a vast and searchable sample library.
  2. DJ Performances and Remixing: DJs can benefit from AI stem separation and synchronization capabilities.
  3. ML Audio Development: It caters to ML audio developers, offering a rich dataset for training machine learning models.


Polymath leverages machine learning to convert any music library into a powerful music production sample library. With its automated stem separation, tempo synchronization, musical structure analysis, key recognition

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