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": "1.12.13",
  },

Note that we recommend always using the latest version.

Examples

Demo	URL	Description
SherpaOnnxStreamingAsr	Address	On-device real-time/streaming speech recognition with Next-gen Kaldi
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)
SherpaOnnxSpeakerDiarization	Address	On-device speaker diarization with Next-gen Kaldi
SherpaOnnxSpeakerIdentification	Address	On-device speaker identification with Next-gen Kaldi

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