Help using torchaudio and spectrograms for diffusion

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  • denoising-diffusion-pytorch

    Implementation of Denoising Diffusion Probabilistic Model in Pytorch

    • I’m trying to train a diffusion model using this code (https://github.com/lucidrains/denoising-diffusion-pytorch). My idea is to take a short audio segment, transform it into a spectrogram and train the model on these images then have it generate spectrograms then go back to audio. However the model requires square images. I cannot for the life of me figure out how to make a square spectrogram. Also is a regular spectrogram or a mel spectrogram better for this application?

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