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datasets: |
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- flexthink/audiomnist |
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pipeline_tag: text-to-speech |
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This is a basic audio diffusion model using Unet. I've uploaded the weights and training code. |
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The sample method of the model is used to generate whatever spoken digit you want. |
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I used the awesome code provided by HuggingFace audio diffusers to generate Mel-spectrograms which were then used to train the model. |
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For the model code I used the denoising-diffusion-pytorch repo found at https://github.com/lucidrains/denoising-diffusion-pytorch |
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The images found in the files are sample{epoch}_{sample#}_{digit}.jpg. They also have corresponding audio files. |
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The audio is VERY quiet, so turn up the speakers to hear better. (Just don't forget to turn it down after!) |
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