https://github.com/k2-fsa/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

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

Description	URL	中国用户
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

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

• 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

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.