22 citations · 104 across the 29 of their papers we have counts for
4 papers · 1 filter
Semi-Supervised Audio Classification with Partially Labeled Data
Siddharth Gururani, Alexander Lerch
Audio classification has seen great progress with the increasing availability of large-scale datasets. These large datasets, however, are often only partially labeled as collecting…
Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes
Karn N. Watcharasupat, Alexander Lerch
Controllable music generation with deep generative models has become increasingly reliant on disentanglement learning techniques. However, current disentanglement metrics, such as…
Improving Music Performance Assessment with Contrastive Learning
Pavan Seshadri, Alexander Lerch
Several automatic approaches for objective music performance assessment (MPA) have been proposed in the past, however, existing systems are not yet capable of reliably predicting r…
Is Disentanglement enough? On Latent Representations for Controllable Music Generation
Ashis Pati, Alexander Lerch
Improving controllability or the ability to manipulate one or more attributes of the generated data has become a topic of interest in the context of deep generative models of music…