{
  "id": 176961,
  "title": "Usefull resources",
  "url": "/competitions/birdsong-recognition/discussion/176961",
  "author_name": "",
  "post_date": "2020-08-24T08:54:42.511447600Z",
  "votes": 13,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Found this repository today:<br>\n<a href=\"https://github.com/AgaMiko/bird-recognition-review\" target=\"_blank\">https://github.com/AgaMiko/bird-recognition-review</a>.<br>\nIt includes datasets, papers, open source projects, competitions and articles.<br>\nHope somebody finds it useful!<br>\nP.S. Will update if I find something else that hasn't been posted.</p>\n<p>Some bird song classification papers:</p>\n<ul>\n<li><a href=\"http://dcase.community/documents/challenge2018/technical_reports/DCASE2018_Lasseck_76.pdf\" target=\"_blank\">ACOUSTIC BIRD DETECTION WITH DEEP CONVOLUTIONAL NEURAL NETWORKS</a></li>\n<li><a href=\"http://cs230.stanford.edu/files_winter_2018/projects/6937051.pdf\" target=\"_blank\">Cocktail Party Problem for Bird Sounds</a> (Includes PyTorch implementation)</li>\n</ul>",
  "messages": [
    {
      "id": "983380",
      "postDate": "08/24/2020 08:54:42",
      "content": "<p>Found this repository today:<br>\n<a href=\"https://github.com/AgaMiko/bird-recognition-review\" target=\"_blank\">https://github.com/AgaMiko/bird-recognition-review</a>.<br>\nIt includes datasets, papers, open source projects, competitions and articles.<br>\nHope somebody finds it useful!<br>\nP.S. Will update if I find something else that hasn't been posted.</p>\n<p>Some bird song classification papers:</p>\n<ul>\n<li><a href=\"http://dcase.community/documents/challenge2018/technical_reports/DCASE2018_Lasseck_76.pdf\" target=\"_blank\">ACOUSTIC BIRD DETECTION WITH DEEP CONVOLUTIONAL NEURAL NETWORKS</a></li>\n<li><a href=\"http://cs230.stanford.edu/files_winter_2018/projects/6937051.pdf\" target=\"_blank\">Cocktail Party Problem for Bird Sounds</a> (Includes PyTorch implementation)</li>\n</ul>",
      "rawMarkdown": "Found this repository today:\n[https://github.com/AgaMiko/bird-recognition-review](https://github.com/AgaMiko/bird-recognition-review).\nIt includes datasets, papers, open source projects, competitions and articles.\nHope somebody finds it useful!\nP.S. Will update if I find something else that hasn't been posted.\n\nSome bird song classification papers:\n- [ACOUSTIC BIRD DETECTION WITH DEEP CONVOLUTIONAL NEURAL NETWORKS](http://dcase.community/documents/challenge2018/technical_reports/DCASE2018_Lasseck_76.pdf)\n- [Cocktail Party Problem for Bird Sounds](http://cs230.stanford.edu/files_winter_2018/projects/6937051.pdf) (Includes PyTorch implementation)",
      "votes": null
    },
    {
      "id": "983639",
      "postDate": "08/24/2020 13:14:27",
      "content": "<p>oh, thanks👍 This is useful.</p>",
      "rawMarkdown": "oh, thanks👍 This is useful.",
      "votes": null
    },
    {
      "id": "983866",
      "postDate": "08/24/2020 16:33:24",
      "content": "<p>Glad it helped you! Going to try to keep this discusion updated as I find new papers or articles.</p>",
      "rawMarkdown": "Glad it helped you! Going to try to keep this discusion updated as I find new papers or articles.",
      "votes": null
    },
    {
      "id": "987238",
      "postDate": "08/27/2020 05:27:39",
      "content": "<p>Thanks for the sources bro. That will probably really help me.</p>",
      "rawMarkdown": "Thanks for the sources bro. That will probably really help me.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 983639,
      "author_name": "pavlorymarchuk",
      "author_url": "",
      "post_date": "08/24/2020 13:14:27",
      "content": "<p>oh, thanks👍 This is useful.</p>",
      "votes": null,
      "replies": [
        {
          "id": 983866,
          "author_name": "kiruakiruakirua",
          "author_url": "",
          "post_date": "08/24/2020 16:33:24",
          "content": "<p>Glad it helped you! Going to try to keep this discusion updated as I find new papers or articles.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 987238,
      "author_name": "acanacar",
      "author_url": "",
      "post_date": "08/27/2020 05:27:39",
      "content": "<p>Thanks for the sources bro. That will probably really help me.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "983380": "Found this repository today:\n[https://github.com/AgaMiko/bird-recognition-review](https://github.com/AgaMiko/bird-recognition-review).\nIt includes datasets, papers, open source projects, competitions and articles.\nHope somebody finds it useful!\nP.S. Will update if I find something else that hasn't been posted.\n\nSome bird song classification papers:\n- [ACOUSTIC BIRD DETECTION WITH DEEP CONVOLUTIONAL NEURAL NETWORKS](http://dcase.community/documents/challenge2018/technical_reports/DCASE2018_Lasseck_76.pdf)\n- [Cocktail Party Problem for Bird Sounds](http://cs230.stanford.edu/files_winter_2018/projects/6937051.pdf) (Includes PyTorch implementation)",
    "983639": "oh, thanks👍 This is useful.",
    "983866": "Glad it helped you! Going to try to keep this discusion updated as I find new papers or articles.",
    "987238": "Thanks for the sources bro. That will probably really help me."
  },
  "source": "meta"
}