{
  "id": 160152,
  "title": "important terms u need to know",
  "url": "/competitions/birdsong-recognition/discussion/160152",
  "author_name": "Kumar selvakumaran",
  "post_date": "2020-06-20T04:41:25.133000",
  "votes": 10,
  "comment_count": 0,
  "views": 0,
  "content": "<p>For first timers in audio-based problems , like me 😆 more such material will be updated here:\n1. <a href=\"https://sound.stackexchange.com/questions/41567/difference-between-frame-and-sample-in-waveform\">frame vs sound</a>\n2. <a href=\"https://en.wikipedia.org/wiki/Audio_bit_depth\">Audio bit depth</a>\n3. <a href=\"https://en.wikipedia.org/wiki/Signal-to-noise_ratio\">signal to noise ratio (SNR)</a>\n4. <a href=\"https://en.wikipedia.org/wiki/Pulse-code_modulation\">Pulse-code modulation</a>\n5. <a href=\"https://towardsdatascience.com/audio-classification-using-fastai-and-on-the-fly-frequency-transforms-4dbe1b540f89\">analysing sound data as images</a> . this was a very helpul article that i felt should be a rite of passage for all first timers\n6. <a href=\"https://jackschaedler.github.io/circles-sines-signals/dft_introduction.html\">fourier transforms n stuff (reading)</a> : easy learing forum for math behind audio analysis\n7. <a href=\"https://www.youtube.com/watch?v=FjmwwDHT98c\">fourier transform from (almost) scratch intuitive lecture :</a> explains all the way from fourier transforms to how theyr'e used in spectrograms .</p>",
  "messages": [
    {
      "id": 893916,
      "postDate": "2020-06-20T04:41:25.133Z",
      "content": "<p>For first timers in audio-based problems , like me 😆 more such material will be updated here:\n1. <a href=\"https://sound.stackexchange.com/questions/41567/difference-between-frame-and-sample-in-waveform\">frame vs sound</a>\n2. <a href=\"https://en.wikipedia.org/wiki/Audio_bit_depth\">Audio bit depth</a>\n3. <a href=\"https://en.wikipedia.org/wiki/Signal-to-noise_ratio\">signal to noise ratio (SNR)</a>\n4. <a href=\"https://en.wikipedia.org/wiki/Pulse-code_modulation\">Pulse-code modulation</a>\n5. <a href=\"https://towardsdatascience.com/audio-classification-using-fastai-and-on-the-fly-frequency-transforms-4dbe1b540f89\">analysing sound data as images</a> . this was a very helpul article that i felt should be a rite of passage for all first timers\n6. <a href=\"https://jackschaedler.github.io/circles-sines-signals/dft_introduction.html\">fourier transforms n stuff (reading)</a> : easy learing forum for math behind audio analysis\n7. <a href=\"https://www.youtube.com/watch?v=FjmwwDHT98c\">fourier transform from (almost) scratch intuitive lecture :</a> explains all the way from fourier transforms to how theyr'e used in spectrograms .</p>",
      "rawMarkdown": "For first timers in audio-based problems , like me 😆 more such material will be updated here:\n1. [frame vs sound](https://sound.stackexchange.com/questions/41567/difference-between-frame-and-sample-in-waveform)\n2. [Audio bit depth](https://en.wikipedia.org/wiki/Audio_bit_depth)\n3. [signal to noise ratio (SNR)](https://en.wikipedia.org/wiki/Signal-to-noise_ratio)\n4. [Pulse-code modulation](https://en.wikipedia.org/wiki/Pulse-code_modulation)\n5. [analysing sound data as images](https://towardsdatascience.com/audio-classification-using-fastai-and-on-the-fly-frequency-transforms-4dbe1b540f89) . this was a very helpul article that i felt should be a rite of passage for all first timers\n6. [fourier transforms n stuff (reading)](https://jackschaedler.github.io/circles-sines-signals/dft_introduction.html) : easy learing forum for math behind audio analysis\n7. [fourier transform from (almost) scratch intuitive lecture :](https://www.youtube.com/watch?v=FjmwwDHT98c) explains all the way from fourier transforms to how theyr'e used in spectrograms .\n ",
      "votes": 10
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "893916": "For first timers in audio-based problems , like me 😆 more such material will be updated here:\n1. [frame vs sound](https://sound.stackexchange.com/questions/41567/difference-between-frame-and-sample-in-waveform)\n2. [Audio bit depth](https://en.wikipedia.org/wiki/Audio_bit_depth)\n3. [signal to noise ratio (SNR)](https://en.wikipedia.org/wiki/Signal-to-noise_ratio)\n4. [Pulse-code modulation](https://en.wikipedia.org/wiki/Pulse-code_modulation)\n5. [analysing sound data as images](https://towardsdatascience.com/audio-classification-using-fastai-and-on-the-fly-frequency-transforms-4dbe1b540f89) . this was a very helpul article that i felt should be a rite of passage for all first timers\n6. [fourier transforms n stuff (reading)](https://jackschaedler.github.io/circles-sines-signals/dft_introduction.html) : easy learing forum for math behind audio analysis\n7. [fourier transform from (almost) scratch intuitive lecture :](https://www.youtube.com/watch?v=FjmwwDHT98c) explains all the way from fourier transforms to how theyr'e used in spectrograms .\n "
  }
}