I classified 149 different composers based on spectrograms of their compositions. I wanted to see whether an image classifier could rival an expert music buff’s ability to spot a composer by listening to a piece. Data was a large MIDI file dump found on a DJ subreddit.
The model turned out only so-so (82% accuracy) and, really, it only works well for the best-represented composers in the dataset (it rocked at classifying Bach). But it was a fun proof of concept and intro to the fastai workflow!
code: https://github.com/zcaceres/deep-learning-composer-prediction