{
  "id": 167622,
  "title": "To understand Audio and its features",
  "url": "/competitions/birdsong-recognition/discussion/167622",
  "author_name": "Subbu Vidyasekar",
  "post_date": "2020-07-17T10:26:16.278000",
  "votes": 6,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hi Kagglers,</p>\n\n<p>To understand the basic characteristics of Audio, I have explored and found few useful blogs.\nWhile reading those blog I have understood\n1. Audio features - Frequency, Sampling Rate, Amplitude \n2. Preprocessing methods - Mel-frequency cepstral coefficients,  transform amplitude into the decibel scale, Spectrogram into an image\n3. Libraries - librosa, Pytorch, FastAI</p>\n\n<p>Blogs:\n- <a href=\"https://towardsdatascience.com/extract-features-of-music-75a3f9bc265d\">https://towardsdatascience.com/extract-features-of-music-75a3f9bc265d</a></p>\n\n<ul>\n<li><p><a href=\"https://medium.com/@hasithsura/audio-classification-d37a82d6715\">https://medium.com/@hasithsura/audio-classification-d37a82d6715</a></p></li>\n<li><p><a href=\"https://towardsdatascience.com/audio-classification-using-fastai-and-on-the-fly-frequency-transforms-4dbe1b540f89\">https://towardsdatascience.com/audio-classification-using-fastai-and-on-the-fly-frequency-transforms-4dbe1b540f89</a></p></li>\n<li><p><a href=\"https://medium.com/&lt;a href=\">@mikesmales</a>/sound-classification-using-deep-learning-8bc2aa1990b7\"&gt;https://medium.com/<a href=\"/mikesmales\">@mikesmales</a>/sound-classification-using-deep-learning-8bc2aa1990b7</p></li>\n<li><p><a href=\"https://medium.com/better-programming/how-to-build-a-deep-audio-de-noiser-using-tensorflow-2-0-79c1c1aea299\">https://medium.com/better-programming/how-to-build-a-deep-audio-de-noiser-using-tensorflow-2-0-79c1c1aea299</a></p></li>\n</ul>",
  "messages": [
    {
      "id": 932838,
      "postDate": "2020-07-17T10:26:16.280Z",
      "content": "<p>Hi Kagglers,</p>\n\n<p>To understand the basic characteristics of Audio, I have explored and found few useful blogs.\nWhile reading those blog I have understood\n1. Audio features - Frequency, Sampling Rate, Amplitude \n2. Preprocessing methods - Mel-frequency cepstral coefficients,  transform amplitude into the decibel scale, Spectrogram into an image\n3. Libraries - librosa, Pytorch, FastAI</p>\n\n<p>Blogs:\n- <a href=\"https://towardsdatascience.com/extract-features-of-music-75a3f9bc265d\">https://towardsdatascience.com/extract-features-of-music-75a3f9bc265d</a></p>\n\n<ul>\n<li><p><a href=\"https://medium.com/@hasithsura/audio-classification-d37a82d6715\">https://medium.com/@hasithsura/audio-classification-d37a82d6715</a></p></li>\n<li><p><a href=\"https://towardsdatascience.com/audio-classification-using-fastai-and-on-the-fly-frequency-transforms-4dbe1b540f89\">https://towardsdatascience.com/audio-classification-using-fastai-and-on-the-fly-frequency-transforms-4dbe1b540f89</a></p></li>\n<li><p><a href=\"https://medium.com/&lt;a href=\">@mikesmales</a>/sound-classification-using-deep-learning-8bc2aa1990b7\"&gt;https://medium.com/<a href=\"/mikesmales\">@mikesmales</a>/sound-classification-using-deep-learning-8bc2aa1990b7</p></li>\n<li><p><a href=\"https://medium.com/better-programming/how-to-build-a-deep-audio-de-noiser-using-tensorflow-2-0-79c1c1aea299\">https://medium.com/better-programming/how-to-build-a-deep-audio-de-noiser-using-tensorflow-2-0-79c1c1aea299</a></p></li>\n</ul>",
      "rawMarkdown": "Hi Kagglers,\n\nTo understand the basic characteristics of Audio, I have explored and found few useful blogs.\nWhile reading those blog I have understood\n1. Audio features - Frequency, Sampling Rate, Amplitude \n2. Preprocessing methods - Mel-frequency cepstral coefficients,  transform amplitude into the decibel scale, Spectrogram into an image\n3. Libraries - librosa, Pytorch, FastAI\n\nBlogs:\n- https://towardsdatascience.com/extract-features-of-music-75a3f9bc265d\n\n- https://medium.com/@hasithsura/audio-classification-d37a82d6715\n\n- https://towardsdatascience.com/audio-classification-using-fastai-and-on-the-fly-frequency-transforms-4dbe1b540f89\n\n- https://medium.com/@mikesmales/sound-classification-using-deep-learning-8bc2aa1990b7\n\n- https://medium.com/better-programming/how-to-build-a-deep-audio-de-noiser-using-tensorflow-2-0-79c1c1aea299",
      "votes": 6
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "932838": "Hi Kagglers,\n\nTo understand the basic characteristics of Audio, I have explored and found few useful blogs.\nWhile reading those blog I have understood\n1. Audio features - Frequency, Sampling Rate, Amplitude \n2. Preprocessing methods - Mel-frequency cepstral coefficients,  transform amplitude into the decibel scale, Spectrogram into an image\n3. Libraries - librosa, Pytorch, FastAI\n\nBlogs:\n- https://towardsdatascience.com/extract-features-of-music-75a3f9bc265d\n\n- https://medium.com/@hasithsura/audio-classification-d37a82d6715\n\n- https://towardsdatascience.com/audio-classification-using-fastai-and-on-the-fly-frequency-transforms-4dbe1b540f89\n\n- https://medium.com/@mikesmales/sound-classification-using-deep-learning-8bc2aa1990b7\n\n- https://medium.com/better-programming/how-to-build-a-deep-audio-de-noiser-using-tensorflow-2-0-79c1c1aea299"
  }
}