zmoth/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)
• Keyword spotting

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#
• Java, Kotlin, JavaScript
• Swift

Links for pre-built Android APKs

Description	URL	**用户
Streaming speech recognition	Address	点此
Text-to-speech	Address	点此
Voice activity detection (VAD)	Address	点此
VAD + non-streaming speech recognition	Address	点此
Two-pass speech recognition	Address	点此
Audio tagging	Address	点此
Audio tagging (WearOS)	Address	点此
Speaker identification	Address	点此
Spoken language identification	Address	点此
Keyword spotting	Address	点此

Links for pre-trained models

Description	URL
Speech recognition (speech to text, ASR)	Address
Text-to-speech (TTS)	Address
VAD	Address
Keyword spotting	Address
Audio tagging	Address
Speaker identification (Speaker ID)	Address
Spoken language identification (Language ID)	See multi-lingual Whisper ASR models from Speech recognition
Punctuation	Address

Useful links

• Documentation: https://k2-fsa.github.io/sherpa/onnx/
• 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.