Skip to content

Music Informatics Group

Georgia Institute of Technology

  • blog
  • publications
  • contact

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

Wu and Vinton – 2017 – Blind Bandwidth Extension using K-Means and Suppor

Wu and Vinton - 2017 - Blind Bandwidth Extension using K-Means and Suppor

Posted on April 13, 2017

Post navigation

Previous Previous post: Wu and Vinton – 2017 – Blind Bandwidth Extension using K-Means and Suppor
Proudly powered by WordPress