{
  "fetched_at": "2026-10-18T13:52:09Z",
  "source_url": "https://www.kaggle.com/competitions/attention-based-speech-recognition/data",
  "pages": [
    {
      "name": "data-description",
      "content": "You must use the train data to train the model. Data in the dev folder are to be used only for validation and not for training. You must transcribe the utterances in the test folder and write them out into submission.csv and upload your results to Kaggle.",
      "isPublished": false,
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    },
    {
      "name": "Evaluation",
      "content": "You will be evaluated based on the Levenshtein distance between your output sequences and the ground truth sequences for the test dataset of LibriSpeech.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "rules",
      "content": " - Don't cheat!\n - Apply yourself!\n - Have fun!",
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      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
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    },
    {
      "name": "abstract",
      "content": "Attention-Based Speech Recognition\nIn this competition you will work on a sequence-to-sequence conversion problem, in which you must\ntrain models to transcribe speech recordings into word sequences, spelled out alphabetically.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
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    }
  ]
}