Natooz/BPE-Symbolic-Music

Code of the paper "Byte Pair Encoding for Symbolic Music" (EMNLP 2023). Better and faster music generation

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Experimental

This project helps music producers, composers, and researchers who work with AI music generation models create better and faster musical pieces. It takes existing symbolic music data (like MIDI files) and processes it to be more efficiently understood by AI models. The output is a significantly improved music generation quality and faster creative iteration.

No commits in the last 6 months.

Use this if you are generating symbolic music with AI models and want to improve the quality of the generated output and significantly speed up the generation process.

Not ideal if you are solely performing audio synthesis or working with analog music data, as this focuses on symbolic music representations.

music-composition AI-music-generation music-production creative-AI music-research
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 5 / 25

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JavaScript

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Last pushed

Mar 06, 2024

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