{
  "fetched_at": "2026-10-19T07:15:28Z",
  "source_url": "https://www.kaggle.com/competitions/11-785-f22-hw4p2/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\nvalidation and not for training. You must transcribe the utterances in the test folder and write them out into submission.csv\nand upload your results to Kaggle.",
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    },
    {
      "name": "Description",
      "content": "Attention-Based Speech Recognition\n\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": "",
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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 collaborating with your study groups!\n\nStart Early! This is the most difficult HW for the course! ",
      "isPublished": false,
      "hasIsPublished": false,
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}