Skip to content

A machine learning algorithm for analyzing audio clips, recognizing percussive content and then extracting individual hits as labeled samples.

Notifications You must be signed in to change notification settings

nathanshaw/drumExtractor

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

drumExtractor

A machine learning algorithm for analyzing audio clips, recognizing percussive content and then extracting individual hits as labeled samples.

For samples : 60% training 20% testing 20% cross-validation

Referenced papers and code can be found in the references_papers folder

To Do :

better onset detection code more features : now all in features.py with raise notimplementederror way to export 'samples' as files code to run training and testing

About

A machine learning algorithm for analyzing audio clips, recognizing percussive content and then extracting individual hits as labeled samples.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages