omarperacha/TonicNet
Sequential model for polyphonic music
This project helps music researchers and computational musicologists explore the creation of polyphonic music. It takes existing musical scores, specifically chorales, as input and can generate new musical pieces in a similar style. It's designed for those studying music theory, composition, or algorithmic music generation.
No commits in the last 6 months.
Use this if you are a music researcher interested in generating new polyphonic music compositions, like chorales, based on existing datasets.
Not ideal if you're looking for a user-friendly music composition tool for general music production or to analyze complex, arbitrary musical forms beyond chorales.
Stars
47
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 24, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/omarperacha/TonicNet"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Natooz/MidiTok
MIDI / symbolic music tokenizers for Deep Learning models 🎶
salu133445/muspy
A toolkit for symbolic music generation
jacbz/Lofi
ML-supported lo-fi music generator
jisungk/deepjazz
Deep learning driven jazz generation using Keras & Theano!
mdeff/fma
FMA: A Dataset For Music Analysis