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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

Neural Style Transfer in Music

Read a recent blog post by our PhD student Ashis Pati on the difficulties on style transfer in music as opposed to pictures.

Posted on January 11, 2018January 11, 2018Author AlexanderCategories gtcmt, project

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