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  30,000 mel spectrograms of 5 second samples of music which have been sampled in other tracks. The code to convert from audio to spectrogram and vice versa can be found in https://github.com/teticio/audio-diffusion along with scripts to train and run inference using Denoising Diffusion Probabilistic Models.
 
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+ ---
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+ annotations_creators: []
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+ language: []
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+ language_creators: []
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+ license: []
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+ multilinguality: []
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+ pretty_name: Mel spectrograms of sampled music
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+ size_categories:
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+ - 10K<n<100K
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+ source_datasets: []
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+ tags:
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+ - audio
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+ - spectrograms
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+ task_categories:
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+ - image-to-image
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+ task_ids: []
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+ ---
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  30,000 mel spectrograms of 5 second samples of music which have been sampled in other tracks. The code to convert from audio to spectrogram and vice versa can be found in https://github.com/teticio/audio-diffusion along with scripts to train and run inference using Denoising Diffusion Probabilistic Models.