{
  "id": 201809,
  "title": "🐧 🐦🦉 🦇 Tensorflow-io -Audio Augmentation and data preparation",
  "url": "/competitions/rfcx-species-audio-detection/discussion/201809",
  "author_name": "",
  "post_date": "2020-12-06T22:26:37.717302900Z",
  "votes": 25,
  "comment_count": 3,
  "views": 0,
  "content": "<p><img src=\"https://drive.google.com/uc?id=1TnekbeRwzouk4BVcgir2l1ZQk6VIdBtL\" alt=\"\"><br>\n{{Quoting official documentation}}<br>\n🔅 🔆<strong>TensorFlow I/O</strong> is an extension package to Tensorflow, which encompasses io support for a collection of file systems and file formats that are not available in TensorFlow's built-in support. <br>\nIt provides useful extra Dataset, streaming, and file system extensions, and is maintained by TensorFlow SIG-IO.</p>\n<p>🔅 🔆One of the biggest challanges in Automatic Speech Recognition is the preparation and augmentation of audio data. Audio data analysis could be in time or frequency domain, which adds additional complex compared with other data sources such as images.</p>\n<p>🔅 🔆As a part of the TensorFlow ecosystem,<strong>tensorflow-io package provides quite a few useful audio-related APIs that helps easing the preparation and augmentation of audio data.</strong></p>\n<p>📚 📖Link to the colab notebook(Official doc) : <a href=\"https://bit.ly/3mOEJbH\" target=\"_blank\">https://bit.ly/3mOEJbH</a></p>\n<p>The contents of the notebook are below </p>\n<p>✳️ Read an Audio File<br>\n✳️ Trim the noise<br>\n✳️ Fade In and Fade Out<br>\n✳️ Spectrogram<br>\n✳️ SpecAugment<br>\n✳️ Time Masking</p>",
  "messages": [
    {
      "id": "1104397",
      "postDate": "12/06/2020 22:26:37",
      "content": "<p><img src=\"https://drive.google.com/uc?id=1TnekbeRwzouk4BVcgir2l1ZQk6VIdBtL\" alt=\"\"><br>\n{{Quoting official documentation}}<br>\n🔅 🔆<strong>TensorFlow I/O</strong> is an extension package to Tensorflow, which encompasses io support for a collection of file systems and file formats that are not available in TensorFlow's built-in support. <br>\nIt provides useful extra Dataset, streaming, and file system extensions, and is maintained by TensorFlow SIG-IO.</p>\n<p>🔅 🔆One of the biggest challanges in Automatic Speech Recognition is the preparation and augmentation of audio data. Audio data analysis could be in time or frequency domain, which adds additional complex compared with other data sources such as images.</p>\n<p>🔅 🔆As a part of the TensorFlow ecosystem,<strong>tensorflow-io package provides quite a few useful audio-related APIs that helps easing the preparation and augmentation of audio data.</strong></p>\n<p>📚 📖Link to the colab notebook(Official doc) : <a href=\"https://bit.ly/3mOEJbH\" target=\"_blank\">https://bit.ly/3mOEJbH</a></p>\n<p>The contents of the notebook are below </p>\n<p>✳️ Read an Audio File<br>\n✳️ Trim the noise<br>\n✳️ Fade In and Fade Out<br>\n✳️ Spectrogram<br>\n✳️ SpecAugment<br>\n✳️ Time Masking</p>",
      "rawMarkdown": "![](https://drive.google.com/uc?id=1TnekbeRwzouk4BVcgir2l1ZQk6VIdBtL)\n{{Quoting official documentation}}\n🔅 🔆**TensorFlow I/O** is an extension package to Tensorflow, which encompasses io support for a collection of file systems and file formats that are not available in TensorFlow's built-in support. \nIt provides useful extra Dataset, streaming, and file system extensions, and is maintained by TensorFlow SIG-IO.\n\n🔅 🔆One of the biggest challanges in Automatic Speech Recognition is the preparation and augmentation of audio data. Audio data analysis could be in time or frequency domain, which adds additional complex compared with other data sources such as images.\n\n\n🔅 🔆As a part of the TensorFlow ecosystem,**tensorflow-io package provides quite a few useful audio-related APIs that helps easing the preparation and augmentation of audio data.**\n\n📚 📖Link to the colab notebook(Official doc) : https://bit.ly/3mOEJbH\n\nThe contents of the notebook are below \n\n✳️ Read an Audio File\n✳️ Trim the noise\n✳️ Fade In and Fade Out\n✳️ Spectrogram\n✳️ SpecAugment\n✳️ Time Masking",
      "votes": null
    },
    {
      "id": "1127448",
      "postDate": "12/26/2020 14:49:39",
      "content": "<p>Thanks for sharing <a href=\"https://www.kaggle.com/usharengaraju\" target=\"_blank\">@usharengaraju</a> </p>",
      "rawMarkdown": "Thanks for sharing @usharengaraju",
      "votes": null
    },
    {
      "id": "1127883",
      "postDate": "12/27/2020 01:34:04",
      "content": "<p>Thanks for sharing mam</p>",
      "rawMarkdown": "Thanks for sharing mam",
      "votes": null
    },
    {
      "id": "1137915",
      "postDate": "01/04/2021 09:27:23",
      "content": "<p>Hey <a href=\"https://www.kaggle.com/usharengaraju\" target=\"_blank\">@usharengaraju</a> thanks for sharing this! I have lately come to a problem with installing <code>tensorflow-io</code> in my kaggle kernel. I have a detailed problem listed in form of a <a href=\"https://www.kaggle.com/c/rfcx-species-audio-detection/discussion/208617\" target=\"_blank\">discussion topic</a><br>\nAny help would be appreciated! 😄</p>",
      "rawMarkdown": "Hey @usharengaraju thanks for sharing this! I have lately come to a problem with installing `tensorflow-io` in my kaggle kernel. I have a detailed problem listed in form of a [discussion topic](https://www.kaggle.com/c/rfcx-species-audio-detection/discussion/208617)\nAny help would be appreciated! :smile:",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1127448,
      "author_name": "",
      "author_url": "",
      "post_date": "12/26/2020 14:49:39",
      "content": "<p>Thanks for sharing <a href=\"https://www.kaggle.com/usharengaraju\" target=\"_blank\">@usharengaraju</a> </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1127883,
      "author_name": "iamsam5",
      "author_url": "",
      "post_date": "12/27/2020 01:34:04",
      "content": "<p>Thanks for sharing mam</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1137915,
      "author_name": "aritrag",
      "author_url": "",
      "post_date": "01/04/2021 09:27:23",
      "content": "<p>Hey <a href=\"https://www.kaggle.com/usharengaraju\" target=\"_blank\">@usharengaraju</a> thanks for sharing this! I have lately come to a problem with installing <code>tensorflow-io</code> in my kaggle kernel. I have a detailed problem listed in form of a <a href=\"https://www.kaggle.com/c/rfcx-species-audio-detection/discussion/208617\" target=\"_blank\">discussion topic</a><br>\nAny help would be appreciated! 😄</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1104397": "![](https://drive.google.com/uc?id=1TnekbeRwzouk4BVcgir2l1ZQk6VIdBtL)\n{{Quoting official documentation}}\n🔅 🔆**TensorFlow I/O** is an extension package to Tensorflow, which encompasses io support for a collection of file systems and file formats that are not available in TensorFlow's built-in support. \nIt provides useful extra Dataset, streaming, and file system extensions, and is maintained by TensorFlow SIG-IO.\n\n🔅 🔆One of the biggest challanges in Automatic Speech Recognition is the preparation and augmentation of audio data. Audio data analysis could be in time or frequency domain, which adds additional complex compared with other data sources such as images.\n\n\n🔅 🔆As a part of the TensorFlow ecosystem,**tensorflow-io package provides quite a few useful audio-related APIs that helps easing the preparation and augmentation of audio data.**\n\n📚 📖Link to the colab notebook(Official doc) : https://bit.ly/3mOEJbH\n\nThe contents of the notebook are below \n\n✳️ Read an Audio File\n✳️ Trim the noise\n✳️ Fade In and Fade Out\n✳️ Spectrogram\n✳️ SpecAugment\n✳️ Time Masking",
    "1127448": "Thanks for sharing @usharengaraju",
    "1127883": "Thanks for sharing mam",
    "1137915": "Hey @usharengaraju thanks for sharing this! I have lately come to a problem with installing `tensorflow-io` in my kaggle kernel. I have a detailed problem listed in form of a [discussion topic](https://www.kaggle.com/c/rfcx-species-audio-detection/discussion/208617)\nAny help would be appreciated! :smile:"
  },
  "source": "meta"
}