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README.md

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----
-annotations_creators: []
-language: []
-language_creators: []
-license: []
-multilinguality: []
-pretty_name: Mel spectrograms of music
-size_categories:
-- 10K<n<100K
-source_datasets: []
-tags:
-- audio
-- spectrograms
-task_categories:
-- image-to-image
-task_ids: []
----
-Over 20,000 256x256 mel spectrograms of 5 second samples of music from my Spotify liked playlist. 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 De-noising Diffusion Probabilistic Models.
-```
-x_res = 1024
-y_res = 1024
-sample_rate = 44100
-n_fft = 2048
-hop_length = 512
-```