{
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  "slug": "voice-input-model-experiment",
  "content_type": "blog",
  "content_id": "blog-voice-input-model-experiment",
  "layout": "article",
  "date": "2026-07-27",
  "status": "published",
  "order": 0,
  "cover_image": {
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    "height": 900,
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  "languages": {
    "zh": {
      "path": "zh/article.html",
      "title": "手搓 Typeless：五種語音清理方案的 Performance 比較，36 段 Agent 場景實測",
      "description": "用 36 段 coding-agent 語音比較本機 cleanup、雲端轉錄模型、Prompt 與字典，並加入 GPT Transcribe 的最新實測。",
      "cover_alt": "五條彩色語音波形匯入模型比較圖，呈現 36 段 Agent 語音與五種語音清理方案的實測"
    },
    "en": {
      "path": "en/article.html",
      "title": "Building My Own Typeless: Five Voice-Cleanup Approaches Tested on 36 Real Agent Commands",
      "description": "A 36-clip coding-agent voice benchmark comparing local cleanup, cloud transcription, prompts, dictionaries, and the new GPT Transcribe model.",
      "cover_alt": "Five colored voice waveforms feeding into a model comparison chart for 36 agent commands and five cleanup approaches"
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