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Music Informatics Group

Georgia Institute of Technology

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Projects & Events

  • Quantifying Spatial Audio Quality Impairment
  • Evaluation of Generative Models in Music
  • 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

Recent Posts

  • Quantifying Spatial Audio Quality Impairment
  • Evaluation of Generative Models in Music
  • 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

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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, 2018February 23, 2026Author AlexanderCategories project

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