syhw/wer_are_we

• highreadme#1

  Clarify the README's opening statement to explicitly state the repo's purpose

  原因：

  当前

  # wer_are_we
  WER are we? An attempt at tracking states of the art(s) and recent results on speech recognition. *Feel free to correct!*

  复制粘贴的修复

  复制

  Replace the first paragraph of the README with: "# wer_are_we: Tracking State-of-the-Art Benchmarks and Results in Speech Recognition
  This repository tracks and compiles state-of-the-art (SOTA) results and benchmarks for speech recognition, focusing on Word Error Rate (WER) across key datasets like LibriSpeech. It serves as a living bibliography for researchers to quickly reference recent advancements."

  待办完成忽略
• mediumlicense#2

  Add a LICENSE file to the repository

  原因：

  复制粘贴的修复

  复制

  Add a LICENSE file to the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects your intentions for contributions and usage.

  待办完成忽略
• mediumhomepage#3

  Add a homepage URL to the repository settings

  原因：

  复制粘贴的修复

  复制

  Add a homepage URL to the repository settings, linking to a relevant project page, documentation, or even the repository itself if no external site exists.

  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 current state-of-the-art benchmarks for deep learning speech recognition?

  你：未被推荐
  AI 推荐顺序：

  1. LibriSpeech
  2. Switchboard (SWBD)
  3. CallHome (CH)
  4. Common Voice
  5. AMI Meeting Corpus
  6. CHiME-6
  7. CHiME-7
  8. Earnings-21
  9. VoxPopuli

  AI 推荐了 9 个替代方案，却始终没点名 syhw/wer_are_we。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  How do various neural network models perform on common speech recognition datasets?

  你：未被推荐
  AI 推荐顺序：

  1. Whisper
  2. Conformer
  3. RNN-T / Transformer Transducer
  4. DeepSpeech
  5. Kaldi
  6. Wav2Vec 2.0

  AI 推荐了 6 个替代方案，却始终没点名 syhw/wer_are_we。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of syhw/wer_are_we?

  pass
  ⚠AI 未点名 syhw/wer_are_we —— 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 syhw/wer_are_we in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 syhw/wer_are_we

  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 syhw/wer_are_we solve, and who is the primary audience?

  pass
  ⚠AI 未点名 syhw/wer_are_we —— 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？