k2-fsa/sherpa-onnx
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
About the project
A collection of offline speech processing tools built on next-gen Kaldi and onnxruntime: speech recognition and synthesis, speaker diarization and identification, VAD, speech enhancement, source separation, and keyword spotting. Runs on servers, mobile, and embedded devices without an internet connection.
Useful for
- Add offline speech recognition to an Android or iOS app using the provided bindings
- Generate video subtitles with built-in ASR and punctuation restoration
- Run VAD and speaker diarization on a Raspberry Pi to label meeting recordings
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 8 stars so far today, about 10 expected by the end of the day.
- GitHub Trending C++ today: #11, +25 stars.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 14,844
- Stars in a day
- 10
- Forks
- 1,707
- Issues and pull requests
- 3,818
- Watchers
- 121
- Language
- C++
- License
- Apache-2.0
- Latest release
- v1.13.8 · September 10, 2026
- Created
- September 1, 2022
- Last push
- September 17, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 18, 2026GitHub Trending C++ today: #11, +25 stars
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