music
audio
speech
autoencoder
diffusion
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@@ -15,7 +15,7 @@ Encode and decode audio samples to/from compressed representations! Useful for e
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  ![music2latent](music2latent.png)
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- Read the ISMIR 2024 paper [here](https://arxiv.org/).
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  Under the hood, __Music2Latent__ uses a __Consistency Autoencoder__ model to efficiently encode and decode audio samples.
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@@ -23,7 +23,7 @@ Under the hood, __Music2Latent__ uses a __Consistency Autoencoder__ model to eff
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  48 kHz audio can also be encoded, which results in a sequence of ~12 Hz.
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  A generative model can then be trained on these embeddings, or they can be used for other downstream tasks.
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- Music2Latent was trained on __music__ and on __speech__. Refer to the [paper](https://arxiv.org/) for more details.
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  ## Installation
 
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  ![music2latent](music2latent.png)
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+ Read the ISMIR 2024 paper [here](https://arxiv.org/abs/2408.06500).
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  Under the hood, __Music2Latent__ uses a __Consistency Autoencoder__ model to efficiently encode and decode audio samples.
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  48 kHz audio can also be encoded, which results in a sequence of ~12 Hz.
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  A generative model can then be trained on these embeddings, or they can be used for other downstream tasks.
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+ Music2Latent was trained on __music__ and on __speech__. Refer to the [paper](https://arxiv.org/abs/2408.06500) for more details.
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  ## Installation