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license: mit
library_name: keras
- audio
- music
- generation
- tensorflow
# Musika Misc Model
Pretrained Misc GAN model for the [Musika system]( for fast infinite waveform music generation.
Introduced in [this paper](
## 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.
### How to use
This pretrained Misc GAN system is automatically downloaded at the first execution of the system. Try Musika [here](!
## Training data
The Misc GAN system was trained on the SXSW music dataset (17000 songs with diverse genres).