MAEST is a family of Transformer models based on PASST and focused on music analysis applications. The MAEST models are also available for inference in the Essentia library and for inference and training in the official repository.

Regression of musical arousal and valence values

Classification of music approachability and engagement

An EfficientNet for music style classification by 400 styles from the Discogs taxonomy

Transfer learning models for music classification by genres, moods, and instrumentation