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rave-models

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no-op-ul-se commited on Oct 19, 2023

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add RAVE paper to readme

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@@ -6,7 +6,7 @@ license: cc-by-nc-4.0
 This is a collection of [RAVE](https://github.com/acids-ircam/RAVE) models trained by the [Intelligent Instruments Lab](https://iil.is) for various projects.
-For a full description see our blog post at: https://iil.is/news/ravemodels.
 Most of these models are encoder-decoder only, no prior, and all use the `--causal` mode and are exported for streaming inference with [nn~](https://github.com/acids-ircam/nn_tilde), [NN.ar](https://github.com/elgiano/nn.ar) or [rave-supercollider](https://github.com/victor-shepardson/rave-supercollider).

 This is a collection of [RAVE](https://github.com/acids-ircam/RAVE) models trained by the [Intelligent Instruments Lab](https://iil.is) for various projects.
+For a full description see our blog post at: https://iil.is/news/ravemodels, and for more about RAVE, see the original [paper](https://arxiv.org/abs/2111.05011) from IRCAM.
 Most of these models are encoder-decoder only, no prior, and all use the `--causal` mode and are exported for streaming inference with [nn~](https://github.com/acids-ircam/nn_tilde), [NN.ar](https://github.com/elgiano/nn.ar) or [rave-supercollider](https://github.com/victor-shepardson/rave-supercollider).