Polymath: Convert and analyze music library with AI tools

Frequently Asked Questions about Polymath

What is Polymath?

Polymath is an AI software that transforms music collections into organized sample libraries. It uses machine learning to separate different sounds within songs, such as drums, bass, and vocals. It can analyze the structure of music, find the key, and turn audio into MIDI files. The tool aligns music to a fixed tempo and provides detailed information about each piece. This makes it easier for music makers, DJs, and data scientists to work with audio data. You can process your own local music files or download music from YouTube for testing. The system runs on Windows, Mac, or Linux with Python 3.7 to 3.10, ffmpeg, and optionally Docker. Using GPU acceleration is supported for faster processing if your system has CUDA set up. Polymath is open-source and available on GitHub under the MIT license, so users can customize or contribute to the code easily. The main functions include source separation, music segmentation, pitch detection, MIDI transcription, beat quantization, and retrieving musical info. Users can create unique samples for music production, generate datasets for AI training, remaster songs for mash-ups, or analyze music for research. The setup involves cloning the repository, installing required Python packages, and running scripts on music files. This makes Polymath a versatile tool for professionals and hobbyists alike. Its features help save time previously spent on manual editing or transcription. Whether you want to craft new sounds, analyze song structure, or prepare data for machine learning, Polymath offers a comprehensive solution. Its benefits are enhanced productivity, flexibility in music processing, and access to advanced neural network analysis. Overall, Polymath simplifies working with music data, making complex audio tasks accessible through automation and AI. This tool is especially useful for music producers, DJs, audio data scientists, and researchers interested in audio and machine learning. It replaces manual and software-limited workflows, streamlining music development and analysis.

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.