Aug 17, 2017 · In this preliminary work, we study the potential of two unsupervised learning techniques - Restricted Boltzmann Machines (RBMs) and Gated ...
In this preliminary work, we study the potential of two unsupervised learning techniques—Restricted Boltzmann Ma- chines (RBMs) and Gated Autoencoders (GAEs)—to ...
This preliminary work studies the potential of two unsupervised learning techniques - Restricted Boltzmann Machines (RBMs) and Gated Autoencoders (GAEs) ...
Aug 17, 2017 · In this preliminary work, we study the potential of two unsupervised learning techniques—Restricted Boltzmann Ma- chines (RBMs) and Gated ...
Learning Musical Relations using Gated Autoencoders ; Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio. 14 February 2024 ...
Learning Musical Relations using Gated Autoencoders. - dblp
dblp.uni-trier.de › corr › abs-1708-05325
Stefan Lattner, Maarten Grachten, Gerhard Widmer: Learning Musical Relations using Gated Autoencoders. CoRR abs/1708.05325 (2017).
Music is usually highly structured and it is still an open question how to design models which can successfully learn to recognize and represent musical ...
Learning Musical relations using Gated Autoencoders. Music is usually highly structured and it is still an open question how to design models which can ...
At the core of our method are audio autoencoders that efficiently compress audio waveform samples into invertible latent representations, and a conditional ...
In this section, we review how VAEs work and how to adjust the model architecture to deal with the representation learning of symbolic music ... per, we use Gated ...