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""" |
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AudioCraft is a general framework for training audio generative models. |
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At the moment we provide the training code for: |
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- [MusicGen](https://arxiv.org/abs/2306.05284), a state-of-the-art |
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text-to-music and melody+text autoregressive generative model. |
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For the solver, see `audiocraft.solvers.musicgen.MusicGenSolver`, and for the model, |
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`audiocraft.models.musicgen.MusicGen`. |
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- [AudioGen](https://arxiv.org/abs/2209.15352), a state-of-the-art |
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text-to-general-audio generative model. |
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- [EnCodec](https://arxiv.org/abs/2210.13438), efficient and high fidelity |
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neural audio codec which provides an excellent tokenizer for autoregressive language models. |
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See `audiocraft.solvers.compression.CompressionSolver`, and `audiocraft.models.encodec.EncodecModel`. |
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- [MultiBandDiffusion](TODO), alternative diffusion-based decoder compatible with EnCodec that |
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improves the perceived quality and reduces the artifacts coming from adversarial decoders. |
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""" |
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from . import data, modules, models |
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__version__ = '1.3.0a1' |