{
  "id": 395371,
  "title": "Help me broaden the knowledge",
  "url": "/competitions/birdclef-2023/discussion/395371",
  "author_name": "",
  "post_date": "2023-03-17T03:13:53.848464900Z",
  "votes": 5,
  "comment_count": 8,
  "views": 0,
  "content": "<p>Hi everyone, I'm a newbie but I'm quite interested in the problems of sound recognition (or specifically, sound classification in this contest), so I would like to ask for some suggestions for learning the related content such as: idea to convert wave to spectrograms, analyze, … Everything should be started from scratch </p>\n<p>Maybe: notebook, paper, blog, book, ….</p>\n<p>Thank you very much!</p>",
  "messages": [
    {
      "id": "2185402",
      "postDate": "03/17/2023 03:13:53",
      "content": "<p>Hi everyone, I'm a newbie but I'm quite interested in the problems of sound recognition (or specifically, sound classification in this contest), so I would like to ask for some suggestions for learning the related content such as: idea to convert wave to spectrograms, analyze, … Everything should be started from scratch </p>\n<p>Maybe: notebook, paper, blog, book, ….</p>\n<p>Thank you very much!</p>",
      "rawMarkdown": "Hi everyone, I'm a newbie but I'm quite interested in the problems of sound recognition (or specifically, sound classification in this contest), so I would like to ask for some suggestions for learning the related content such as: idea to convert wave to spectrograms, analyze, ... Everything should be started from scratch \n\nMaybe: notebook, paper, blog, book, ....\n\nThank you very much!",
      "votes": null
    },
    {
      "id": "2185765",
      "postDate": "03/17/2023 09:14:00",
      "content": "<p><a href=\"https://peerj.com/articles/13152/\" target=\"_blank\">This paper</a> is usually a great start to get up to speed on previous developments. It's more research paper, but still comprehensive and easy to follow.</p>",
      "rawMarkdown": "[This paper](https://peerj.com/articles/13152/) is usually a great start to get up to speed on previous developments. It's more research paper, but still comprehensive and easy to follow.",
      "votes": null
    },
    {
      "id": "2185969",
      "postDate": "03/17/2023 12:59:27",
      "content": "<p>Thank you so much for your support! </p>",
      "rawMarkdown": "Thank you so much for your support!",
      "votes": null
    },
    {
      "id": "2192560",
      "postDate": "03/22/2023 18:12:08",
      "content": "<p>Hi, I would recommend taking a look at the previous competitions, Like 2022: <a href=\"https://www.kaggle.com/competitions/birdclef-2022/discussion\" target=\"_blank\">BirdCLEF2022</a></p>\n<p>Cheers!</p>",
      "rawMarkdown": "Hi, I would recommend taking a look at the previous competitions, Like 2022: [BirdCLEF2022](https://www.kaggle.com/competitions/birdclef-2022/discussion)\n\nCheers!",
      "votes": null
    },
    {
      "id": "2194576",
      "postDate": "03/24/2023 03:45:44",
      "content": "<p>Thank you very much for the information!</p>",
      "rawMarkdown": "Thank you very much for the information!",
      "votes": null
    },
    {
      "id": "2196299",
      "postDate": "03/25/2023 09:13:42",
      "content": "<p>This tutorial paper helps us understand weak-label sound event detection.<br>\n<strong>\"Sound Event Detection: A Tutorial\"</strong><br>\n<a href=\"https://arxiv.org/abs/2107.05463\" target=\"_blank\">https://arxiv.org/abs/2107.05463</a></p>",
      "rawMarkdown": "This tutorial paper helps us understand weak-label sound event detection.\n**\"Sound Event Detection: A Tutorial\"**\n[https://arxiv.org/abs/2107.05463](https://arxiv.org/abs/2107.05463)",
      "votes": null
    },
    {
      "id": "2203125",
      "postDate": "03/30/2023 14:23:10",
      "content": "<p>As a beginner myself, I felt this notebook and the related notebooks for data-preparation and inference are the perfect way to start work on this <a href=\"https://www.kaggle.com/code/nischaydnk/birdclef-2023-pytorch-lightning-training-w-cmap\" target=\"_blank\">project</a>. Even though I don't use PyTorch Lightning, the ideas and related code enabled me to find a way to train and submit first models. Might be of help to you as well, good luck! </p>",
      "rawMarkdown": "As a beginner myself, I felt this notebook and the related notebooks for data-preparation and inference are the perfect way to start work on this [project](https://www.kaggle.com/code/nischaydnk/birdclef-2023-pytorch-lightning-training-w-cmap). Even though I don't use PyTorch Lightning, the ideas and related code enabled me to find a way to train and submit first models. Might be of help to you as well, good luck!",
      "votes": null
    },
    {
      "id": "2208717",
      "postDate": "04/04/2023 09:16:14",
      "content": "<p>Thank you so much!</p>",
      "rawMarkdown": "Thank you so much!",
      "votes": null
    },
    {
      "id": "2208724",
      "postDate": "04/04/2023 09:17:05",
      "content": "<p>Thank you very much!</p>",
      "rawMarkdown": "Thank you very much!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2185765,
      "author_name": "stefankahl",
      "author_url": "",
      "post_date": "03/17/2023 09:14:00",
      "content": "<p><a href=\"https://peerj.com/articles/13152/\" target=\"_blank\">This paper</a> is usually a great start to get up to speed on previous developments. It's more research paper, but still comprehensive and easy to follow.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2185969,
          "author_name": "anhdangquy",
          "author_url": "",
          "post_date": "03/17/2023 12:59:27",
          "content": "<p>Thank you so much for your support! </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2192560,
      "author_name": "paulojunqueira",
      "author_url": "",
      "post_date": "03/22/2023 18:12:08",
      "content": "<p>Hi, I would recommend taking a look at the previous competitions, Like 2022: <a href=\"https://www.kaggle.com/competitions/birdclef-2022/discussion\" target=\"_blank\">BirdCLEF2022</a></p>\n<p>Cheers!</p>",
      "votes": null,
      "replies": [
        {
          "id": 2194576,
          "author_name": "anhdangquy",
          "author_url": "",
          "post_date": "03/24/2023 03:45:44",
          "content": "<p>Thank you very much for the information!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2196299,
      "author_name": "myso1987",
      "author_url": "",
      "post_date": "03/25/2023 09:13:42",
      "content": "<p>This tutorial paper helps us understand weak-label sound event detection.<br>\n<strong>\"Sound Event Detection: A Tutorial\"</strong><br>\n<a href=\"https://arxiv.org/abs/2107.05463\" target=\"_blank\">https://arxiv.org/abs/2107.05463</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 2208724,
          "author_name": "anhdangquy",
          "author_url": "",
          "post_date": "04/04/2023 09:17:05",
          "content": "<p>Thank you very much!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2203125,
      "author_name": "janbrederecke",
      "author_url": "",
      "post_date": "03/30/2023 14:23:10",
      "content": "<p>As a beginner myself, I felt this notebook and the related notebooks for data-preparation and inference are the perfect way to start work on this <a href=\"https://www.kaggle.com/code/nischaydnk/birdclef-2023-pytorch-lightning-training-w-cmap\" target=\"_blank\">project</a>. Even though I don't use PyTorch Lightning, the ideas and related code enabled me to find a way to train and submit first models. Might be of help to you as well, good luck! </p>",
      "votes": null,
      "replies": [
        {
          "id": 2208717,
          "author_name": "anhdangquy",
          "author_url": "",
          "post_date": "04/04/2023 09:16:14",
          "content": "<p>Thank you so much!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2185402": "Hi everyone, I'm a newbie but I'm quite interested in the problems of sound recognition (or specifically, sound classification in this contest), so I would like to ask for some suggestions for learning the related content such as: idea to convert wave to spectrograms, analyze, ... Everything should be started from scratch \n\nMaybe: notebook, paper, blog, book, ....\n\nThank you very much!",
    "2185765": "[This paper](https://peerj.com/articles/13152/) is usually a great start to get up to speed on previous developments. It's more research paper, but still comprehensive and easy to follow.",
    "2185969": "Thank you so much for your support!",
    "2192560": "Hi, I would recommend taking a look at the previous competitions, Like 2022: [BirdCLEF2022](https://www.kaggle.com/competitions/birdclef-2022/discussion)\n\nCheers!",
    "2194576": "Thank you very much for the information!",
    "2196299": "This tutorial paper helps us understand weak-label sound event detection.\n**\"Sound Event Detection: A Tutorial\"**\n[https://arxiv.org/abs/2107.05463](https://arxiv.org/abs/2107.05463)",
    "2203125": "As a beginner myself, I felt this notebook and the related notebooks for data-preparation and inference are the perfect way to start work on this [project](https://www.kaggle.com/code/nischaydnk/birdclef-2023-pytorch-lightning-training-w-cmap). Even though I don't use PyTorch Lightning, the ideas and related code enabled me to find a way to train and submit first models. Might be of help to you as well, good luck!",
    "2208717": "Thank you so much!",
    "2208724": "Thank you very much!"
  },
  "source": "meta"
}