keyur2maru/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

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:

• x86, x86_64, 32-bit ARM, 64-bit ARM (arm64, aarch64), RISC-V (riscv64)
• Linux, macOS, Windows, openKylin
• Android, WearOS
• iOS
• NodeJS
• WebAssembly
• Raspberry Pi
• RV1126
• LicheePi4A
• VisionFive 2
• 旭日X3派
• etc

with the following APIs

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

Useful links

• Documentation: https://k2-fsa.github.io/sherpa/onnx/
• APK for the text-to-speech engine: https://k2-fsa.github.io/sherpa/onnx/tts/apk-engine.html
• APK for speaker identification: https://k2-fsa.github.io/sherpa/onnx/speaker-identification/apk.html
• APK for speech recognition: https://github.com/k2-fsa/sherpa-onnx/releases/
• Bilibili 演示视频: https://search.bilibili.com/all?keyword=%E6%96%B0%E4%B8%80%E4%BB%A3Kaldi

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.