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.

Source models

• MusiCNN. A musically motivated CNN with two variants trained on the Million Song Dataset and the MagnaTagATune.
• VGGish. A large VGG variant trained on a preliminary version of the AudioSet Dataset.

Transfer learning classifiers

Our models consist of single-hidden-layer MLPs trained on the considered embeddings.

License

These models are part of Essentia Models made by MTG-UPF and are publicly available under CC by-nc-sa and commercial license.