{
  "id": 47656,
  "title": "muda, musical data augmentation python library",
  "url": "/competitions/acoustic-scene-2018/discussion/47656",
  "author_name": "",
  "post_date": "2018-01-17T11:45:24.597568900Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hi. </p>\n\n<p>Though I've not made any submissions,\nit seems data augmentations may improve performance in this task. \nI'd like to share the library to augment training data for acoustic tasks.</p>\n\n<p>muda, musical data augmentation python library\n<a href=\"https://github.com/bmcfee/muda\">https://github.com/bmcfee/muda</a></p>\n\n<p>It was developed for musical classification, \nbut the following paper by J.Salamon et al. showed it works well for environmental sound classifications.</p>\n\n<p>Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification\n<a href=\"https://arxiv.org/abs/1608.04363\">https://arxiv.org/abs/1608.04363</a></p>",
  "messages": [
    {
      "id": "269848",
      "postDate": "01/17/2018 11:45:24",
      "content": "<p>Hi. </p>\n\n<p>Though I've not made any submissions,\nit seems data augmentations may improve performance in this task. \nI'd like to share the library to augment training data for acoustic tasks.</p>\n\n<p>muda, musical data augmentation python library\n<a href=\"https://github.com/bmcfee/muda\">https://github.com/bmcfee/muda</a></p>\n\n<p>It was developed for musical classification, \nbut the following paper by J.Salamon et al. showed it works well for environmental sound classifications.</p>\n\n<p>Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification\n<a href=\"https://arxiv.org/abs/1608.04363\">https://arxiv.org/abs/1608.04363</a></p>",
      "rawMarkdown": "Hi. \n\nThough I've not made any submissions,\nit seems data augmentations may improve performance in this task. \nI'd like to share the library to augment training data for acoustic tasks.\n\nmuda, musical data augmentation python library\nhttps://github.com/bmcfee/muda\n\nIt was developed for musical classification, \nbut the following paper by J.Salamon et al. showed it works well for environmental sound classifications.\n\nDeep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification\nhttps://arxiv.org/abs/1608.04363",
      "votes": null
    },
    {
      "id": "269925",
      "postDate": "01/17/2018 14:36:22",
      "content": "<p>Nice share. Thanks!</p>",
      "rawMarkdown": "Nice share. Thanks!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 269925,
      "author_name": "inversion",
      "author_url": "",
      "post_date": "01/17/2018 14:36:22",
      "content": "<p>Nice share. Thanks!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "269848": "Hi. \n\nThough I've not made any submissions,\nit seems data augmentations may improve performance in this task. \nI'd like to share the library to augment training data for acoustic tasks.\n\nmuda, musical data augmentation python library\nhttps://github.com/bmcfee/muda\n\nIt was developed for musical classification, \nbut the following paper by J.Salamon et al. showed it works well for environmental sound classifications.\n\nDeep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification\nhttps://arxiv.org/abs/1608.04363",
    "269925": "Nice share. Thanks!"
  },
  "source": "meta"
}