Projects & Events

EAsT: Embeddings As Teachers for Music Classification
Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models
Score-Informed Networks for Music Performance Assessment
Multi-Task Learning for Instrument Activation Aware Music Source Separation
AR-VAE: Attribute-based Regularization of VAE Latent Spaces
dMelodies: A Music Dataset for Disentanglement Learning
Learning to Traverse Latent Spaces for Musical Score Inpainting
An Attention Mechanism for Musical Instrument Recognition
Explicitly Conditioned Melody Generation
Music Informatics Group @ICML Machine Learning for Music Discovery Workshop

Hung and Lerch – 2020 – Multi-Task Learning for Instrument Activation Awar