Music Genre Classification Pipeline

The pipeline is managed with python. The webAPI can be accessed with a web view.

webAPI → youtube-dl
                 ↓
webAPI ← keras ← vamp

Demo Video

Current known issues: The webserver does not serve python files.

Model

The deep learning model uses convolution on top of recurrent cells. It achieves an accuracy (precision) of 85% on three genres.

Dataset

The datset is included in the form of pickled feature vectors extracted via sonic-annotator. The original music files and categorization were collections of "best-of" music CDs.

Dependencies

youtube-dl, sonic-annotator with plug-ins

Detailed guide in tutorial.md

Feature Extractions

• Vamp plugin host sonic-annotator (GNU license)
• QM Vamp plugin
• BBC Vamp plugin

On Mac OS copy the plugins to /Library/Audio/Plug-Ins/Vamp/.

allow execution of unsigned library in security settings after a failed attempt

Python Dependencies

Simply run:

sudo python3 -m pip install -r requirements.txt