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README.md
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license: mit
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license: mit
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library_name: keras
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tags:
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- audio
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- music
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- generation
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- tensorflow
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# Musika Misc Small Model
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Pretrained Misc Small GAN model for the [Musika system](https://github.com/marcoppasini/musika) for fast infinite waveform music generation.
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Introduced in [this paper](https://arxiv.org/abs/2208.08706).
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## Model description
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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.
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The generator has a context window of about 6 seconds of audio (half the context of the full Misc model).
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### How to use
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This pretrained Misc Small GAN system is automatically downloaded at the first execution of the system. Try Musika [here](https://github.com/marcoppasini/musika)!
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## Training data
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The Misc Small GAN system was trained on the SXSW music dataset (17000 songs with diverse genres).
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