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Music Informatics Group

Georgia Institute of Technology

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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

Lykartsis et al_2015_Beat Histogram Features from NMF-Based Novelty Functions for Music

Lykartsis et al_2015_Beat Histogram Features from NMF-Based Novelty Functions for Music

Posted on October 13, 2015

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