Independent project. Not a U.S. government website.

Support our project (opens Buy Me a Coffee)
USASI
Generated blue circuit-trace artwork for k2-fsa/sherpa-ncnn, labeled USASI · AI on GitHub, with Organization · C++ · Apache-2.0.
Rank #3,994 1,794 starsC++

sherpa-ncnn

by k2-fsa (organization)

Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, LicheePi4A etc. (description from the project’s GitHub page)

Repository facts

Stars
1,794
Forks
223
Open issues and pull requests
66
Primary language
C++
License
Apache License 2.0 (Apache-2.0)
Owner
k2-fsa · Organization
Created
Sep 4, 2022
Last push
Oct 20, 2025

Topics

Rank #3,994 of 9,507 in AI on GitHub, by stars. Data from the GitHub API, fetched Oct 18, 2026; star counts change daily. Stars measure popularity, not quality or safety, and a listing is not an endorsement. How this list is made

Projects that share this one’s GitHub topics.

Support Us

Help keep USASI useful.

Optional. No USASI account required. Payment takes place on the linked provider’s website (Buy Me a Coffee).

About supporting this project