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flujoo / ch0p1n

Python Package for Automatic Musical Composition
https://flujoo.github.io/en/my-approach-to-automatic-musical-composition/
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Autodetecting the limited core materials #1

Open LifeIsStrange opened 2 years ago

LifeIsStrange commented 2 years ago

Hi, someone on hackernews made the following comment:

Most of this writeup is just a reinvention of Schenkerian analysis, and suffers from the same problem, in that you exercise a lot of editorial judgement in deciding which parts are the core/structural ideas and which parts are embellishment. That undermines the whole idea that this is automatic composition, because you are deciding a heck of a lot upfront. https://en.wikipedia.org/wiki/Schenkerian_analysis

I think you did a great blog and this project is fascinating. However, the graal to me would be to produce a software that can take a music as an input and "easily" allow to generate variations of the composition. As such I'm wondering wether machine learning techniques, such as a neural network would be useful, not to generate the music but to help your rule based program to generate it by classifying/detecting in a song, which notes are the most likely to be parts of what you call "limited core materials" AKA the primitives to remix.

flujoo commented 2 years ago

@LifeIsStrange Thanks for your comment. I totally agree that the autodetection functionality you mentioned is essential, which my package currently does not have. I think deep learning is very promising in doing this job, and I should spend some time studying it before considering how to Implement this functionality.