ef-sherpa-onnx

Speech-to-text, text-to-speech, and speaker recongition using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift


Keywords
aarch64, android, arm32, asr, cpp, csharp, dotnet, ios, linux, macos, mfc, onnx, openkylin, raspberry-pi, risc-v, speech-to-text, text-to-speech, vits, windows
Licenses
Apache-2.0/Sendmail
Install
pip install ef-sherpa-onnx==1.9.21.dev1

Documentation

Introduction

This repository supports running the following functions locally

  • Speech-to-text (i.e., ASR); both streaming and non-streaming are supported
  • Text-to-speech (i.e., TTS)
  • Speaker identification
  • Speaker verification
  • Spoken language identification
  • Audio tagging
  • VAD (e.g., silero-vad)

on the following platforms and operating systems:

with the following APIs

  • C++
  • C
  • Python
  • Go
  • C#
  • Javascript
  • Java
  • Kotlin
  • Swift

Useful links

How to reach us

Please see https://k2-fsa.github.io/sherpa/social-groups.html for 新一代 Kaldi 微信交流群 and QQ 交流群.