README.md



Introduction

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.


Installation

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": "1.10.32",
  },


Note that we recommend always using the latest version.


Examples


Demo
URL
Description


SherpaOnnxVadAsr
Address
It shows how to use VAD with a non-streaming ASR model for speech recognition


Documentation

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