Predictions run on CPU hardware. Predictions typically complete within 25 seconds.
This demo runs a series of transfer learning regression models trained to predict musical arousal and valence values.
These classifiers were trained on a mixture of public and in-house MTG datasets.
Our models consist of single-hidden-layer MLPs trained on the considered embeddings.