Upload musika-grateful-dead-barton-hall readme

README.md

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+---
+license: mit
+tags:
+- audio
+- music
+- generation
+- tensorflow
+---
+
+# Musika Model: musika-grateful-dead-barton-hall
+## Model provided by: benwakefield
+
+Pretrained musika-grateful-dead-barton-hall 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-grateful-dead-barton-hall 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.