teticio/audio-diffusion-breaks-256
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30,000 256x256 mel spectrograms of 5 second samples that have been used in music, sourced from WhoSampled and YouTube. 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 = 256
y_res = 256
sample_rate = 22050
n_fft = 2048
hop_length = 512
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Size of downloaded dataset files:
1.3 GB
Size of the auto-converted Parquet files:
1.3 GB
Number of rows:
29,825
Models trained or fine-tuned on teticio/audio-diffusion-breaks-256