[WIP] Audio preprocessing tutorial. #572
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vincentqb
changed the title
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Deploy preview for pytorch-tutorials-preview ready! Built with commit 3cb9b30 https://deploy-preview-572--pytorch-tutorials-preview.netlify.com |
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Discussion with @brianjo
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While testing with the mini-website, I'm running into failing nightlies from PyTorch. @jamarshon -- do you know one that's compatible with torchaudio that works? |
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Just FYI, seeing similar issues with Torchvision against master. We're working on this branch #575. Once I get tv fixed, I'll enable audio. Cheers. |
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try 1.2.0.dev20190722 or a few days back. torchaudio CI passed on those ones |
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I was able to successfully generate the page using the mini-website with the latest path using |
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@brianjo -- do you know where the style sheet controlling the size of the images generated in the document? thanks! |
index.rst
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| .. .. raw:: html | ||
| .. customgalleryitem:: | ||
| :figure: /_static/img/audio_preprocessing_tutorial_waveform.png | ||
| :tooltip: Preprocessing with Torchaudio Tutorial |
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Thanks for the feedback! Updated to |
| print("Sample rate of waveform: {}".format(sample_rate)) | ||
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| plt.figure() | ||
| plt.plot(waveform.transpose(0,1).numpy()) |
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.t() seems cleaner than transpose(0,1)
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Indeed. I updated it in other places too.
[WIP] Audio preprocessing tutorial. Yay!
Initial tutorial with an overview of dataset loading and transformers. Created using the following notebook and converted using this script.
TODO
In a later iteration, we should demo a neural network implementation, maybe inspired by a prior version (which no longer appears in the left hand side menu but is still searchable).
The initial pull request was done in torchaudio.