{
  "id": 178497,
  "title": "Can the noise in the bird's voice improve the score?",
  "url": "/competitions/birdsong-recognition/discussion/178497",
  "author_name": "",
  "post_date": "2020-08-30T07:22:50.863000",
  "votes": 3,
  "comment_count": 0,
  "views": 0,
  "content": "<p>👉<a href=\"birdcall-noise\" target=\"_blank\">https://www.kaggle.com/xinyangkabuda/birdcall-noise</a>👈</p>\n<p>I performed noise extraction on two audios in the example_test_audio folder in the competition. I don't know if the score can be improved😂😂, but I think mixing noise into it for processing may reduce some overfitting. Hope it can help you! !😃😃</p>\n<p>The first audio (BLKFR-10-CPL_20190611_093000.pt540) intercepted 10 different time periods of noise (not including bird calls), each noise length is 5s;</p>\n<p>The second audio (ORANGE-7-CAP_20190606_093000.pt623) intercepts seven different time periods of noise (not including bird calls), and each noise length is 3-5s (this is because the noise is not obvious, most of the time (There are bird calls in the paragraph)</p>",
  "messages": [
    {
      "id": 991159,
      "postDate": "2020-08-30T07:22:50.863Z",
      "content": "<p>👉<a href=\"birdcall-noise\" target=\"_blank\">https://www.kaggle.com/xinyangkabuda/birdcall-noise</a>👈</p>\n<p>I performed noise extraction on two audios in the example_test_audio folder in the competition. I don't know if the score can be improved😂😂, but I think mixing noise into it for processing may reduce some overfitting. Hope it can help you! !😃😃</p>\n<p>The first audio (BLKFR-10-CPL_20190611_093000.pt540) intercepted 10 different time periods of noise (not including bird calls), each noise length is 5s;</p>\n<p>The second audio (ORANGE-7-CAP_20190606_093000.pt623) intercepts seven different time periods of noise (not including bird calls), and each noise length is 3-5s (this is because the noise is not obvious, most of the time (There are bird calls in the paragraph)</p>",
      "rawMarkdown": "👉[https://www.kaggle.com/xinyangkabuda/birdcall-noise](birdcall-noise)👈\n\nI performed noise extraction on two audios in the example_test_audio folder in the competition. I don't know if the score can be improved😂😂, but I think mixing noise into it for processing may reduce some overfitting. Hope it can help you! !😃😃\n\nThe first audio (BLKFR-10-CPL_20190611_093000.pt540) intercepted 10 different time periods of noise (not including bird calls), each noise length is 5s;\n\nThe second audio (ORANGE-7-CAP_20190606_093000.pt623) intercepts seven different time periods of noise (not including bird calls), and each noise length is 3-5s (this is because the noise is not obvious, most of the time (There are bird calls in the paragraph)\n",
      "votes": 4
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "991159": "👉[https://www.kaggle.com/xinyangkabuda/birdcall-noise](birdcall-noise)👈\n\nI performed noise extraction on two audios in the example_test_audio folder in the competition. I don't know if the score can be improved😂😂, but I think mixing noise into it for processing may reduce some overfitting. Hope it can help you! !😃😃\n\nThe first audio (BLKFR-10-CPL_20190611_093000.pt540) intercepted 10 different time periods of noise (not including bird calls), each noise length is 5s;\n\nThe second audio (ORANGE-7-CAP_20190606_093000.pt623) intercepts seven different time periods of noise (not including bird calls), and each noise length is 3-5s (this is because the noise is not obvious, most of the time (There are bird calls in the paragraph)\n"
  }
}