Polymath: Turn Music Files into Samples with AI

Frequently Asked Questions about Polymath

What is Polymath?

Polymath is an AI tool that helps users turn their music collections into organized sample libraries. It uses machine learning to find and separate different parts of songs, like vocals, bass, and drums. The tool can analyze the structure of music, detect keys, and convert audio into MIDI files. With Polymath, users can automatically extract these elements and align them to a tempo, making it easier to create new music or analyze existing tracks.

The software supports Python 3.7 to 3.10, includes ffmpeg, and offers optional Docker support. It can utilize GPU acceleration if CUDA is set up, which speeds up processing. Polymath can process local music files or music from YouTube by downloading tracks, offering flexibility for different projects. It is licensed under the MIT license and is available on GitHub as an open-source project.

Main features include source separation, music structure segmentation, pitch detection, MIDI transcription, quantization and alignment, and music information retrieval. These tools can be used for various purposes, such as creating custom sample libraries for music production, generating datasets for music AI models, remixing by combining elements from different songs, researching musical structure, and transcribing music into MIDI for editing.

Using Polymath is straightforward. Users clone the GitHub repository, install dependencies via pip, and run scripts on their music files. The processed output includes separated stems and detailed musical analyses, useful for musicians, DJs, developers, and researchers.

Since this tool is open source, anyone can contribute or customize it to fit their needs. Its primary application is in music production, audio processing, and artificial intelligence, simplifying tasks that traditionally require manual effort. Polymath replaces manual music editing, sample library creation, and transcriptions, saving time and increasing efficiency for users working with audio data.

All in all, Polymath offers an efficient, flexible, and accessible way to manipulate and analyze music using advanced AI techniques, making it a valuable tool for music professionals and researchers.

Key Features:

Who should be using Polymath?

AI Tools such as Polymath is most suitable for Music Producers, DJs, Audio Data Scientists, ML Audio Developers & Music Researchers.

What type of AI Tool Polymath is categorised as?

What AI Can Do Today categorised Polymath under:

How can Polymath AI Tool help me?

This AI tool is mainly made to music library conversion. Also, Polymath can handle separate audio into stems, analyze musical structure, convert audio to midi, quantize music to beats & retrieve musical info for you.

What Polymath can do for you:

Common Use Cases for Polymath

How to Use Polymath

Clone the repository, install dependencies with pip, and run the scripts on your music files to generate separated stems, analyze musical structure, and convert audio to MIDI.

What Polymath Replaces

Polymath modernizes and automates traditional processes:

Additional FAQs

What are the system requirements?

Python 3.7 to 3.10, ffmpeg, and optional Docker support.

Does it support GPU acceleration?

Yes, it supports GPU for faster processing if CUDA is configured.

Can I use it with YouTube music?

Yes, you can process music files from YouTube by downloading them first.

Is this tool open source?

Yes, it is licensed under MIT and available on GitHub.

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Getting Started with Polymath

Ready to try Polymath? This AI tool is designed to help you music library conversion efficiently. Visit the official website to get started and explore all the features Polymath has to offer.