rtzr/Awesome-Korean-Speech-Recognition

• highreadme#1

  Reposition README introduction to clarify repo's nature

  原因：

  当前

  A curated list of **Korean speech recognition** resources for developers, including **the error rate (Character Error Rate)** of Speech Recognition API on public datasets.

  复制粘贴的修复

  复制

  This repository is a **benchmark and comparison report** of various **Korean Speech Recognition (STT) APIs**, providing developers with a curated list of services and their measured **Character Error Rates (CER)** on public datasets. It does not offer an STT API itself, but rather evaluates existing ones.

  待办完成忽略
• mediumtopics#2

  Update topics to better reflect 'benchmark' and 'comparison'

  原因：

  当前

  awesome, korean, speech-recognition, speech-to-text, speech-to-text-api, whisper

  复制粘贴的修复

  复制

  awesome-list, korean-speech-recognition, speech-to-text, stt-api-benchmark, api-comparison, character-error-rate, whisper

  待办完成忽略
• lowreadme#3

  Add a 'Who is this for?' section to the README

  原因：

  复制粘贴的修复

  复制

  Add a new section to the README, perhaps titled 'Who is this for?' or 'Target Audience', with text such as: 'This repository is ideal for developers, researchers, and data scientists who need to evaluate and select the best Korean Speech-to-Text (STT) APIs for their projects, or understand the performance benchmarks of various services on Korean datasets.'

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  What are the best performing Korean speech-to-text APIs available for developers?

  你：未被推荐
  AI 推荐顺序：

  1. Google Cloud Speech-to-Text
  2. Naver Clova Speech (CSR)
  3. Kakao AI (Kakao i)
  4. Microsoft Azure Cognitive Services - Speech
  5. AWS Amazon Transcribe
  6. Deepgram
  7. AssemblyAI

  AI 推荐了 7 个替代方案，却始终没点名 rtzr/Awesome-Korean-Speech-Recognition。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Where can I find a comparison of Korean speech recognition API accuracy and error rates?

  你：未被推荐
  AI 推荐顺序：

  1. Naver Clova Speech (Naver Cloud Platform)
  2. Kakao i (Kakao Enterprise)
  3. Google Cloud Speech-to-Text
  4. AWS Amazon Transcribe
  5. Microsoft Azure Cognitive Services Speech

  AI 推荐了 5 个替代方案，却始终没点名 rtzr/Awesome-Korean-Speech-Recognition。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of rtzr/Awesome-Korean-Speech-Recognition?

  pass
  ⚠AI 未点名 rtzr/Awesome-Korean-Speech-Recognition —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts rtzr/Awesome-Korean-Speech-Recognition in production, what risks or prerequisites should they evaluate first?

  pass
  ⚠AI 未点名 rtzr/Awesome-Korean-Speech-Recognition —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo rtzr/Awesome-Korean-Speech-Recognition solve, and who is the primary audience?

  pass
  ⚠AI 未点名 rtzr/Awesome-Korean-Speech-Recognition —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？