{
  "id": 672805,
  "title": "Starter Notebook",
  "url": "/competitions/dl-sprint-4-0-bengali-long-form-speech-recognition/discussion/672805",
  "author_name": "Amimul Ehsan",
  "post_date": "2026-02-10T15:48:57.449000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>In response to many requests from beginner participants,we are hereby sharing a starter notebook.</p>\n<p><a href=\"https://www.kaggle.com/code/amimulehsan1/bengali-long-form-asr-starter-tugstugi\" target=\"_blank\">https://www.kaggle.com/code/amimulehsan1/bengali-long-form-asr-starter-tugstugi</a></p>\n<p>Since the competition is already halfway through,we are providing a mid-range performer.</p>\n<p>For Beginners:</p>\n<p>Simply click <strong>“Copy and Edit”</strong>, run the notebook, and make your first submission. Try to understand each step along the way.</p>\n<p>It’s intentionally kept as a <strong>starter baseline</strong>, not the final answer. Besides,its inference is slow.The goal is to help you move quickly, understand the end-to-end flow, and build confidence.</p>\n<p>From here, you’re encouraged to go beyond this notebook—try improving any single stage of the pipeline: <strong>audio loading/resampling, chunking strategy, decoding settings, normalization, finetuning,preprocessing</strong>, or <strong>post-processing</strong> the transcripts. Even small upgrades to one stage can noticeably improve results.</p>\n<p>Try new ideas, explore other architectures, and experiment with stronger or more modern models. The best results will come from your own improvements and creativity.</p>",
  "messages": [
    {
      "id": 3404486,
      "postDate": "2026-02-10T15:48:57.450Z",
      "content": "<p>In response to many requests from beginner participants,we are hereby sharing a starter notebook.</p>\n<p><a href=\"https://www.kaggle.com/code/amimulehsan1/bengali-long-form-asr-starter-tugstugi\" target=\"_blank\">https://www.kaggle.com/code/amimulehsan1/bengali-long-form-asr-starter-tugstugi</a></p>\n<p>Since the competition is already halfway through,we are providing a mid-range performer.</p>\n<p>For Beginners:</p>\n<p>Simply click <strong>“Copy and Edit”</strong>, run the notebook, and make your first submission. Try to understand each step along the way.</p>\n<p>It’s intentionally kept as a <strong>starter baseline</strong>, not the final answer. Besides,its inference is slow.The goal is to help you move quickly, understand the end-to-end flow, and build confidence.</p>\n<p>From here, you’re encouraged to go beyond this notebook—try improving any single stage of the pipeline: <strong>audio loading/resampling, chunking strategy, decoding settings, normalization, finetuning,preprocessing</strong>, or <strong>post-processing</strong> the transcripts. Even small upgrades to one stage can noticeably improve results.</p>\n<p>Try new ideas, explore other architectures, and experiment with stronger or more modern models. The best results will come from your own improvements and creativity.</p>",
      "rawMarkdown": "In response to many requests from beginner participants,we are hereby sharing a starter notebook.\n\nhttps://www.kaggle.com/code/amimulehsan1/bengali-long-form-asr-starter-tugstugi\n\nSince the competition is already halfway through,we are providing a mid-range performer.\n\nFor Beginners:\n\nSimply click **“Copy and Edit”**, run the notebook, and make your first submission. Try to understand each step along the way.\n\nIt’s intentionally kept as a **starter baseline**, not the final answer. Besides,its inference is slow.The goal is to help you move quickly, understand the end-to-end flow, and build confidence.\n\nFrom here, you’re encouraged to go beyond this notebook—try improving any single stage of the pipeline: **audio loading/resampling, chunking strategy, decoding settings, normalization, finetuning,preprocessing**, or **post-processing** the transcripts. Even small upgrades to one stage can noticeably improve results.\n\nTry new ideas, explore other architectures, and experiment with stronger or more modern models. The best results will come from your own improvements and creativity.\n"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "3404486": "In response to many requests from beginner participants,we are hereby sharing a starter notebook.\n\nhttps://www.kaggle.com/code/amimulehsan1/bengali-long-form-asr-starter-tugstugi\n\nSince the competition is already halfway through,we are providing a mid-range performer.\n\nFor Beginners:\n\nSimply click **“Copy and Edit”**, run the notebook, and make your first submission. Try to understand each step along the way.\n\nIt’s intentionally kept as a **starter baseline**, not the final answer. Besides,its inference is slow.The goal is to help you move quickly, understand the end-to-end flow, and build confidence.\n\nFrom here, you’re encouraged to go beyond this notebook—try improving any single stage of the pipeline: **audio loading/resampling, chunking strategy, decoding settings, normalization, finetuning,preprocessing**, or **post-processing** the transcripts. Even small upgrades to one stage can noticeably improve results.\n\nTry new ideas, explore other architectures, and experiment with stronger or more modern models. The best results will come from your own improvements and creativity.\n"
  }
}