
# Musika Model: juancopi81/musika-reggaton-15-epochs-techno
## Model provided by: juancopi81

Pretrained juancopi81/musika-reggaton-15-epochs-techno 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 juancopi81/musika-reggaton-15-epochs-techno 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.

{"license": "mit", "tags": ["audio", "music", "generation", "tensorflow"]}
audio music generation tensorflow arxiv:2208.08706 license:mit region:us
TAGS
#audio #music #generation #tensorflow #arxiv-2208.08706 #license-mit #region-us 


# Musika Model: juancopi81/musika-reggaton-15-epochs-techno
## Model provided by: juancopi81

Pretrained juancopi81/musika-reggaton-15-epochs-techno model for the Musika system for fast infinite waveform music generation.
Introduced in this paper.

## How to use

You can generate music from this pretrained juancopi81/musika-reggaton-15-epochs-techno model using the notebook available here.

### 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 *URL*. 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.

# Musika Model: juancopi81/musika-reggaton-15-epochs-techno ## Model provided by: juancopi81

Pretrained juancopi81/musika-reggaton-15-epochs-techno model for the Musika system for fast infinite waveform music generation.
Introduced in this paper. ## How to use

You can generate music from this pretrained juancopi81/musika-reggaton-15-epochs-techno model using the notebook available here. ### 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 *URL*. 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.
TAGS
#audio #music #generation #tensorflow #arxiv-2208.08706 #license-mit #region-us 
 # Musika Model: juancopi81/musika-reggaton-15-epochs-techno ## Model provided by: juancopi81

Pretrained juancopi81/musika-reggaton-15-epochs-techno model for the Musika system for fast infinite waveform music generation.
Introduced in this paper. ## How to use

You can generate music from this pretrained juancopi81/musika-reggaton-15-epochs-techno model using the notebook available here. ### 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 *URL*. 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.
TAGS
#audio #music #generation #tensorflow #arxiv-2208.08706 #license-mit #region-us 
# Musika Model: juancopi81/musika-reggaton-15-epochs-techno## Model provided by: juancopi81

Pretrained juancopi81/musika-reggaton-15-epochs-techno model for the Musika system for fast infinite waveform music generation.
Introduced in this paper.## How to use

You can generate music from this pretrained juancopi81/musika-reggaton-15-epochs-techno model using the notebook available here.### 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 *URL*. 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.