{
  "id": 399731,
  "title": "A Guide to Creating Spectrogram Images from Audio with torchaudio",
  "url": "/competitions/birdclef-2023/discussion/399731",
  "author_name": "",
  "post_date": "2023-04-05T10:15:57.092748Z",
  "votes": 5,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hello!</p>\n<p>I've written a to-the-point guide on how one can easily create spectrogram images from audio files using PyTorch's torchaudio library. The guide also goes over how one can create a dataset and push it to Kaggle, right within a Kaggle notebook (handy for when your machine doesn't have enough storage).</p>\n<p>You can read the guide <a href=\"https://www.kaggle.com/code/forbo7/how-to-convert-audio-to-spectrogram-images/notebook\" target=\"_blank\">here</a>.</p>\n<p>If you have any comments, questions, suggestions, feedback, criticisms, or corrections, please do let me know!</p>",
  "messages": [
    {
      "id": "2210342",
      "postDate": "04/05/2023 10:15:57",
      "content": "<p>Hello!</p>\n<p>I've written a to-the-point guide on how one can easily create spectrogram images from audio files using PyTorch's torchaudio library. The guide also goes over how one can create a dataset and push it to Kaggle, right within a Kaggle notebook (handy for when your machine doesn't have enough storage).</p>\n<p>You can read the guide <a href=\"https://www.kaggle.com/code/forbo7/how-to-convert-audio-to-spectrogram-images/notebook\" target=\"_blank\">here</a>.</p>\n<p>If you have any comments, questions, suggestions, feedback, criticisms, or corrections, please do let me know!</p>",
      "rawMarkdown": "Hello!\n\nI've written a to-the-point guide on how one can easily create spectrogram images from audio files using PyTorch's torchaudio library. The guide also goes over how one can create a dataset and push it to Kaggle, right within a Kaggle notebook (handy for when your machine doesn't have enough storage).\n\nYou can read the guide [here](https://www.kaggle.com/code/forbo7/how-to-convert-audio-to-spectrogram-images/notebook).\n\nIf you have any comments, questions, suggestions, feedback, criticisms, or corrections, please do let me know!",
      "votes": null
    },
    {
      "id": "2210361",
      "postDate": "04/05/2023 10:35:20",
      "content": "<p>Cool work! Thanks</p>",
      "rawMarkdown": "Cool work! Thanks",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2210361,
      "author_name": "serangu",
      "author_url": "",
      "post_date": "04/05/2023 10:35:20",
      "content": "<p>Cool work! Thanks</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2210342": "Hello!\n\nI've written a to-the-point guide on how one can easily create spectrogram images from audio files using PyTorch's torchaudio library. The guide also goes over how one can create a dataset and push it to Kaggle, right within a Kaggle notebook (handy for when your machine doesn't have enough storage).\n\nYou can read the guide [here](https://www.kaggle.com/code/forbo7/how-to-convert-audio-to-spectrogram-images/notebook).\n\nIf you have any comments, questions, suggestions, feedback, criticisms, or corrections, please do let me know!",
    "2210361": "Cool work! Thanks"
  },
  "source": "meta"
}