readme: ---
  license: mit
  tags:
  - audio
  - music
  - generation
  - tensorflow
  ---
  
  # Musika Model: musika_hyperpop
  ## Model provided by: freepina
  
  Pretrained musika_hyperpop model for the [Musika system](https://github.com/marcoppasini/musika) for fast infinite waveform music generation.
  Introduced in [this paper](https://arxiv.org/abs/2208.08706).
  
  ## How to use
  
  You can generate music from this pretrained musika_hyperpop model using the notebook available [here](https://colab.research.google.com/drive/1HJWliBXPi-Xlx3gY8cjFI5-xaZgrTD7r).
  
  ### Model description
  
  This pretrained GAN system consists of a ResNet-style generator and discriminator. During training, stability is controlled by adapting the strength of gradient penalty regularization on-the-fly. The gradient penalty weighting term is contained in *switch.npy*. The generator is conditioned on a latent coordinate system to produce samples of arbitrary length. The latent representations produced by the generator are then passed to a decoder which converts them into waveform audio.
  The generator has a context window of about 12 seconds of audio.
  