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 # Embodied exploration of deep latent spaces in interactive dance-music performance
 
-This repository is linked to our paper submission to the [MOCO'24](https://moco24.movementcomputing.org/) Conference on Movement and Computing. Please, visit our [GitHub page](https://anonymous4research1.github.io/embodied-latent-exploration/) for supplementary materials with examples.
+This repository is linked to our paper submission to the [MOCO'24](https://moco24.movementcomputing.org/) Conference on Movement and Computing. Please, visit our [GitHub page](https://ircam-ismm.github.io/embodied-latent-exploration/) for supplementary materials with examples.
 
 In this work, we investigate the use of deep audio generative models in interactive dance/music performance. We introduce a motion-sound interactive system integrating deep audio generative model and propose three embodied interaction methods to explore deep audio latent spaces through movements. Please, refer to the paper for further details.
 
@@ -46,4 +46,4 @@ You can download pre-trained RAVE models in [here](https://acids-ircam.github.io
 
 ## Acknowledgments
 
-Removed for anonymous submission
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+Removed for anonymous submission