sherpa-onnx is one of the deployment frameworks of Next-gen Kaldi.
It supports speech-to-text, text-to-speech, speaker diarization, and VAD using onnxruntime without Internet connection.
It also supports embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter, Object Pascal, Lazarus, Rust, etc.
To use sherpa-onnx
in your project, please either use
ohpm install sherpa_onnx
or update your oh-package.json5
to include the following:
"dependencies": {
"sherpa_onnx": "1.10.33",
},
Note that we recommend always using the latest version.
Demo | URL | Description |
---|---|---|
SherpaOnnxVadAsr | Address | It shows how to use VAD with a non-streaming ASR model for on-device speech recognition without accessing the network |
SherpaOnnxTts | Address | It shows how to use Next-gen Kaldi for on-device text-to-speech (TTS, i.e., speech synthesis) |
If you have any issues, please either look at our doc at https://k2-fsa.github.io/sherpa/onnx/ or create an issue at https://github.com/k2-fsa/sherpa-onnx/issues