Join us at Uncanny Spaces, a series of talks about ML and creativity. 🚀

mtg/music-arousal-valence

Public
Regression of musical arousal and valence values
54 runs

Performance

This model runs predictions on CPU hardware.

Readme

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.

Replicate