Tempo BPM estimation with Essentia
An EfficientNet for music style classification by 400 styles from the Discogs taxonomy
Transfer learning models for music classification by genres, moods, and instrumentation
Classification of music approachability and engagement
Regression of musical arousal and valence values
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.
This model is cold. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
This model runs on CPU. View more.
