What
Polymath is a tool that uses machine learning to transform any music library, such as those found on a hard drive or YouTube, into a sample library for music production. It automatically separates songs into different parts, such as beats and bass, and adjusts them to the same tempo and beat-grid. Additionally, it analyzes the musical structure, key, and other information such as timbre and loudness. The end result is a searchable sample library that simplifies the process for music producers, DJs, and machine learning audio developers.
Who
This tool is suitable for music producers, DJs, and ML audio developers who want to streamline their workflow and create a searchable sample library from their music library.
How
– Music producers can use the sample library to quickly find and use high-quality stems for their own productions.
– DJs can use the library to create remixes and mashups on the fly, without having to manually separate and analyze the songs.
– ML audio developers can use the library to train and test their machine learning models, by providing a large and diverse dataset of music samples.
– Music teachers can use the library to create exercises and assignments for their students, by selecting specific stems and keys that match their curriculum.
– Music researchers can use the library to study and compare different musical genres, styles, and trends, by analyzing the metadata and structure of the songs.
