Add project: FunASR

[LauraGPT]

Adds FunASR to the Audio Data category.

FunASR is an industrial-grade speech recognition toolkit supporting 50+ languages with 170x realtime processing speed. It includes built-in VAD, punctuation restoration, speaker diarization, and emotion detection, plus an OpenAI-compatible API endpoint.

• GitHub: https://github.com/modelscope/FunASR (18.7K stars as of 2026-06-30)
• PyPI: https://pypi.org/project/funasr/
• Category: audio

- name: FunASR
  github_id: modelscope/FunASR
  pypi_id: funasr
  category: audio

---

Summary by cubic

Add FunASR to the audio category in projects.yaml. This makes the industrial-grade ASR toolkit discoverable in our catalog via GitHub modelscope/FunASR and PyPI funasr.

^{Written for commit c650c52. Summary will update on new commits.}

[cubic-dev-ai]

No issues found across 1 file

_{Re-trigger cubic}

[LauraGPT]

Hi, friendly ping — this PR adds FunASR (17K+ stars) to the best-of-ml-python list. Ready to merge. Thanks!

[LauraGPT]

Hi! FunASR has grown to 17.8K+ stars with 1.3M+ PyPI downloads. Would be a great addition to the list! 🙏

[LauraGPT]

Quick status refresh: this PR is still clean and the existing review check is green. I also refreshed the description with the current FunASR repo size: 18.7K GitHub stars as of 2026-06-30. Happy to adjust the category or metadata if maintainers prefer a different placement.

[LauraGPT]

FunASR-side validation recheck (2026-07-07 UTC):

• PR is open, non-draft, and mergeable with mergeable_state=clean; current head is c650c52a.
• Scope is projects.yaml only, +4/-0, adding FunASR with github_id: modelscope/FunASR, pypi_id: funasr, and category audio.
• Project endpoints resolve: https://github.com/modelscope/FunASR and https://pypi.org/project/funasr/ both returned HTTP 200.

Looks good from the FunASR metadata side.