AMAAI-Lab/t2m-inferalign
Improving Symbolic Music Generation with Inference-Time Alignment
This project helps music composers, producers, and hobbyists generate symbolic music (like MIDI files) that perfectly matches their text descriptions. You input a text prompt describing the music you want, and it outputs a MIDI file that is more harmonically consistent and aligns better with the implied rhythm and key from your text. This tool is for anyone creating music from textual ideas, aiming for higher quality and accuracy.
No commits in the last 6 months.
Use this if you are generating music from text prompts and need the resulting composition to be more musically coherent and closely aligned with the semantic and rhythmic nuances of your descriptions.
Not ideal if you are looking to generate raw audio directly or if your primary focus is on developing or training new music generation models.
Stars
20
Forks
1
Language
Python
License
MIT
Category
Last pushed
Aug 02, 2025
Commits (30d)
0
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