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.
Perform real-time speech recognition and voice detection on various devices without needing the internet.
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Free · no card · unsubscribe anytimeReal-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.
sherpa-ncnn has 1.8k stars on GitHub. It has been forked 215 times. sherpa-ncnn is written mainly in C++. It has been in active development since 2022. sherpa-ncnn is available under the Apache-2.0 license. Its main topics are asr, c, cpp, csharp.
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.
sherpa-ncnn is an open-source project. It is released under the Apache-2.0 license.
Yes. sherpa-ncnn is free and open source — you can use, modify and self-host it.
sherpa-ncnn is available under the Apache-2.0 license.
sherpa-ncnn is written mainly in C++.
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