Now showing items 1-2 of 2

    • A general-purpose deep learning approach to model time-varying audio effects 

      Martinez Ramirez, M; Benetos, E; Reiss, J; International Conference on Digital Audio Effects (DAFx-19)
      Audio processors whose parameters are modified periodically over time are often referred as time-varying or modulation based audio effects. Most existing methods for modeling these type of effect units are often optimized ...
    • Intelligent Audio Mixing Using Deep Learning 

      MARTINEZ RAMIREZ, MA; Reiss, J; DMRN+11: Digital Music Research Network One-day Workshop 2016 (Centre for Digital Music, Queen Mary University of London, 2016-12-20)
      We propose a research trajectory in the field of deep learning applied to music production systems such as mixing, mastering, sound design and sound synthesis.