Skip to content

Research on possible strategies to perform artificial music detection through classical machine learning models

Notifications You must be signed in to change notification settings

marcello-grati/capstone_L01_artificial_music_detection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

capstone L01 : artificial music detection

This repository containes 3 different codes focused on testing new way to perform artificial music detection:

  • Capstone_l01_RvF.ipynb : this model is trained to distinguish between human recorded music and AI generated music
  • Capstone_l01_RvF.ipynb : this model is trained to classify the music generated by different AI models
  • Noise_test.ipynb : this code is useful to test model perfromance in different noise scenarios

In order to run this code, the user needs to add this dataset to his google drive folder:

https://drive.google.com/drive/folders/1--JvLlLr_JZeOtfK3jgNJm7_EBBIlxYr?usp=sharing

and then needs to modify the file paths with respect to the postion of the added folder

Es: /content/drive/My Drive/path/to/folder/Datasets_5/...

About

Research on possible strategies to perform artificial music detection through classical machine learning models

Topics

Resources

Stars

Watchers

Forks

Contributors 3

  •  
  •  
  •