2 papers
cs.SD2024
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…
cs.SD2023
Adapting Meter Tracking Models to Latin American Music
Lucas S. Maia, Martín Rocamora, Luiz W. P. Biscainho +1
Beat and downbeat tracking models have improved significantly in recent years with the introduction of deep learning methods. However, despite these improvements, several challenge…