FireRedTeam/FireRedASR

• highabout#1

  Clarify "ASR" in the repository description

  原因：

  当前

  Open-source industrial-grade ASR models supporting Mandarin, Chinese dialects and English, achieving a new SOTA on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability.

  复制粘贴的修复

  复制

  FireRedASR: Open-source industrial-grade **Automatic Speech Recognition (ASR)** models supporting Mandarin, Chinese dialects and English, achieving new SOTA on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability.

  待办完成忽略
• mediumhomepage#2

  Add a homepage URL to the repository metadata

  原因：

  复制粘贴的修复

  复制

  https://fireredteam.github.io/demos/firered_asr/

  待办完成忽略
• mediumreadme#3

  Reorder README introduction to highlight FireRedASR's core features

  原因：

  当前

  **FireRedASR2S has been open-sourced! Welcome to try it! https://github.com/FireRedTeam/FireRedASR2SFireRedASR2S is a state-of-the-art (SOTA), industrial-grade, all-in-one ASR system with ASR, VAD, LID, and Punc modules. All modules achieve SOTA performance.**
  
  FireRedASR is a family of open-source industrial-grade automatic speech recognition (ASR) models supporting Mandarin, Chinese dialects and English, achieving a new state-of-the-art (SOTA) on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability.

  复制粘贴的修复

  复制

  FireRedASR is a family of open-source industrial-grade automatic speech recognition (ASR) models supporting Mandarin, Chinese dialects and English, achieving a new state-of-the-art (SOTA) on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability.
  
  **🔥 News: FireRedASR2S has been open-sourced! Welcome to try it!** FireRedASR2S is a state-of-the-art (SOTA), industrial-grade, all-in-one ASR system with ASR, VAD, LID, and Punc modules. All modules achieve SOTA performance. See https://github.com/FireRedTeam/FireRedASR2S

  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 open-source automatic speech recognition models for Mandarin and English?

  你：未被推荐
  AI 推荐顺序：

  1. Whisper (openai/whisper)
  2. Wav2Vec 2.0 (facebookresearch/fairseq)
  3. Conformer
  4. ESPnet (espnet/espnet)
  5. NeMo (NVIDIA/NeMo)
  6. DeepSpeech (mozilla/DeepSpeech)
  7. Kaldi (kaldi-asr/kaldi)

  AI 推荐了 7 个替代方案，却始终没点名 FireRedTeam/FireRedASR。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Seeking an industrial-grade ASR system with state-of-the-art performance for Chinese dialects and singing lyrics.

  你：未被推荐
  AI 推荐顺序：

  1. Google Cloud Speech-to-Text
  2. Microsoft Azure Cognitive Services Speech
  3. Baidu AI Cloud Speech
  4. Alibaba Cloud Intelligent Speech Interaction
  5. AWS Transcribe
  6. Deepgram
  7. OpenAI Whisper

  AI 推荐了 7 个替代方案，却始终没点名 FireRedTeam/FireRedASR。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 FireRedTeam/FireRedASR?

  pass
  ✓AI 明确点名了 FireRedTeam/FireRedASR

  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 FireRedTeam/FireRedASR in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 FireRedTeam/FireRedASR

  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 FireRedTeam/FireRedASR solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 FireRedTeam/FireRedASR

  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？