capital-G/musikinformatik-sose2021

Course materials for Musikinformatik course SoSe 2021 at RSH Düsseldorf

27
/ 100
Experimental

These materials are for anyone studying or teaching music informatics, particularly those interested in how data analytics and machine learning can be applied to sound generation. You'll explore concepts and practical examples related to creating or manipulating sound using computational methods. It's designed for students and educators in music technology, computer science with a focus on audio, or digital arts.

No commits in the last 6 months.

Use this if you are a student or instructor looking for course materials that bridge music, data analysis, and machine learning for sound generation.

Not ideal if you are a musician purely interested in performance or composition without a computational focus.

music-informatics sound-generation music-technology-education audio-data-science computational-music
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 14 / 25

How are scores calculated?

Stars

10

Forks

3

Language

Jupyter Notebook

License

Last pushed

Aug 17, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/capital-G/musikinformatik-sose2021"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.