[diibv]

It is worth noting that AcousticBrainz was based on an open-source audio analysis library Essentia [1] that has been gradually improving since the launch of the AcousticBrainz project. It now has better ML models, with higher accuracy and generalization, than those used in AcousticBrainz in the pre-deep learning age of handcrafted signal processing features and SVMs.

See [2] for the list of models currently available. It includes updated ML models for the classifiers used in AcousticBrainz and many new models (e.g., a 400-style music classifier, models for arousal-valence emotion recognition, and feature embeddings that can be used for audio similarity or training new classifiers).

[1] https://essentia.upf.edu/ [2] https://essentia.upf.edu/models.html

[mkesper]

Sadly all models are licensed for non-commercial use only (CC BY-NC-SA 4.0), so not Free Software.