Over 20,000 512x512 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 = 512
y_res = 512
sample_rate = 22050
n_fft = 2048
hop_length = 512
```
task_categories:image-to-image size_categories:10K<n<100K audio spectrograms region:us
{"size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["image-to-image"], "task_ids": [], "pretty_name": "Mel spectrograms of music", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "audio_file", "dtype": "string"}, {"name": "slice", "dtype": "int16"}], "splits": [{"name": "train", "num_bytes": 1903861364.293, "num_examples": 10663}], "download_size": 1903696036, "dataset_size": 1903861364.293}, "tags": ["audio", "spectrograms"]}
TAGS
#task_categories-image-to-image #size_categories-10K<n<100K #audio #spectrograms #region-us 

Over 20,000 512x512 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 URL along with scripts to train and run inference using De-noising Diffusion Probabilistic Models.

TAGS
#task_categories-image-to-image #size_categories-10K<n<100K #audio #spectrograms #region-us 
