MusAIc

A classification model that tags songs based on their features

1. Prerequisite

Download annotation and mp3 file data from https://mirg.city.ac.uk/codeapps/the-magnatagatune-dataset (MagnaTagATune)
Install 'Librosa' to process music data: https://librosa.org/doc/latest/install.html/ (Librosa)

Create NEW notebooks to run the following steps for proper visualization and viewing purposes.

Step 1(optional): run 'Librosa Sandbox.ipynb' to experiment with data
Step 2: run 'Feature Extraction.ipynb' to make sure all files are in proper format
- extract the mel spectograms from the songs
- Mel Spectrogram = frequency domain representation of audio
Step 3: run 'Magnatagatune.ipynb' to load X and Y vectors of songs to use for models
Step 4: run 'Model Training.ipynb' to train models and view tagged songs.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Feature Extraction.ipynb		Feature Extraction.ipynb
Librosa Sandbox.ipynb		Librosa Sandbox.ipynb
Magnatagatune.ipynb		Magnatagatune.ipynb
Model Training.ipynb		Model Training.ipynb
Models.ipynb		Models.ipynb
README.md		README.md