Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio

Pablo Alonso-Jiménez, Leonardo Pepino, Roser Batlle-Roca +4

We present PECMAE, an interpretable model for music audio classification based on prototype learning. Our model is based on a previous method, APNet, which jointly learns an autoen…