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add model table and update
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README.md
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**UPDATE**:
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@@ -27,7 +29,14 @@ Audio can be represented as images by transforming to a [mel spectrogram](https:
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A DDPM model is trained on a set of mel spectrograms that have been generated from a directory of audio files. It is then used to synthesize similar mel spectrograms, which are then converted back into audio.
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You can play around with
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**UPDATE**:
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You can now generate an audio based on a previous one. You can use this to generate variations of the same audio or even to "remix" a track (via a sort of "style transfer"). You can find examples of how to do this in the [`test_model.ipynb`](https://colab.research.google.com/github/teticio/audio-diffusion/blob/master/notebooks/test_model.ipynb) notebook.
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A DDPM model is trained on a set of mel spectrograms that have been generated from a directory of audio files. It is then used to synthesize similar mel spectrograms, which are then converted back into audio.
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You can play around with some pretrained models on [Google Colab](https://colab.research.google.com/github/teticio/audio-diffusion/blob/master/notebooks/test_model.ipynb) or [Hugging Face spaces](https://huggingface.co/spaces/teticio/audio-diffusion). Check out some automatically generated loops [here](https://soundcloud.com/teticio2/sets/audio-diffusion-loops).
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| Model | Dataset | Description |
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| https://huggingface.co/teticio/audio-diffusion-256 | https://huggingface.co/datasets/teticio/audio-diffusion-256 | My "liked" Spotify playlist |
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| https://huggingface.co/teticio/audio-diffusion-breaks-256 | https://huggingface.co/datasets/teticio/audio-diffusion-breaks-256 | Samples that have been used in music, sourced from [WhoSampled](https://whosampled.com) and [YouTube](https://youtube.com) |
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| https://huggingface.co/teticio/audio-diffusion-instrumental-hiphop-256 | https://huggingface.co/datasets/teticio/audio-diffusion-instrumental-hiphop-256 | Instrumental Hip Hop music |
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