k2-fsa/sherpa-onnx
Fork: 389 Star: 3336 (更新于 2024-10-17 07:50:25)
license: Apache-2.0
Language: C++ .
Speech-to-text, text-to-speech, speaker recognition, and VAD 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, Dart, JavaScript, Flutter, Object Pascal, Lazarus, Rust
最后发布版本： v1.10.28 ( 2024-10-13 15:30:04)
Supported functions
| Speech recognition | Speech synthesis |
|---|---|
| ✔️ | ✔️ |
| Speaker identification | Speaker diarization | Speaker verification |
|---|---|---|
| ✔️ | ✔️ | ✔️ |
| Spoken Language identification | Audio tagging | Voice activity detection |
|---|---|---|
| ✔️ | ✔️ | ✔️ |
| Keyword spotting | Add punctuation |
|---|---|
| ✔️ | ✔️ |
Supported platforms
| Architecture | Android | iOS | Windows | macOS | linux |
|---|---|---|---|---|---|
| x64 | ✔️ | ✔️ | ✔️ | ✔️ | |
| x86 | ✔️ | ✔️ | |||
| arm64 | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
| arm32 | ✔️ | ✔️ | |||
| riscv64 | ✔️ |
Supported programming languages
| 1. C++ | 2. C | 3. Python | 4. JavaScript |
|---|---|---|---|
| ✔️ | ✔️ | ✔️ | ✔️ |
| 5. Java | 6. C# | 7. Kotlin | 8. Swift |
|---|---|---|---|
| ✔️ | ✔️ | ✔️ | ✔️ |
| 9. Go | 10. Dart | 11. Rust | 12. Pascal |
|---|---|---|---|
| ✔️ | ✔️ | ✔️ | ✔️ |
For Rust support, please see sherpa-rs
It also supports WebAssembly.
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 diarization
- 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
- 爱芯派
- etc
with the following APIs
- C++, C, Python, Go,
C# - Java, Kotlin, JavaScript
- Swift, Rust
- Dart, Object Pascal
Links for Huggingface Spaces
You can visit the following Huggingface spaces to try sherpa-onnx without installing anything. All you need is a browser.
| Description | URL |
|---|---|
| Speaker diarization | Click me |
| Speech recognition | Click me |
| Speech recognition with Whisper | Click me |
| Speech synthesis | Click me |
| Generate subtitles | Click me |
| Audio tagging | Click me |
| Spoken language identification with Whisper | Click me |
We also have spaces built using WebAssembly. They are listed below:
| Description | Huggingface space | ModelScope space |
|---|---|---|
| Voice activity detection with silero-vad | Click me | 地址 |
| Real-time speech recognition (Chinese + English) with Zipformer | Click me | 地址 |
| Real-time speech recognition (Chinese + English) with Paraformer | Click me | 地址 |
| Real-time speech recognition (Chinese + English + Cantonese) with Paraformer-large | Click me | 地址 |
| Real-time speech recognition (English) | Click me | 地址 |
| VAD + speech recognition (Chinese + English + Korean + Japanese + Cantonese) with SenseVoice | Click me | 地址 |
| VAD + speech recognition (English) with Whisper tiny.en | Click me | 地址 |
| VAD + speech recognition (English) with Zipformer trained with GigaSpeech | Click me | 地址 |
| VAD + speech recognition (Chinese) with Zipformer trained with WenetSpeech | Click me | 地址 |
| VAD + speech recognition (Japanese) with Zipformer trained with ReazonSpeech | Click me | 地址 |
| VAD + speech recognition (Thai) with Zipformer trained with GigaSpeech2 | Click me | 地址 |
| VAD + speech recognition (Chinese 多种方言) with a TeleSpeech-ASR CTC model | Click me | 地址 |
| VAD + speech recognition (English + Chinese, 及多种中文方言) with Paraformer-large | Click me | 地址 |
| VAD + speech recognition (English + Chinese, 及多种中文方言) with Paraformer-small | Click me | 地址 |
| Speech synthesis (English) | Click me | 地址 |
| Speech synthesis (German) | Click me | 地址 |
| Speaker diarization | Click me | 地址 |
Links for pre-built Android APKs
You can find pre-built Android APKs for this repository in the following table
| Description | URL | 中国用户 |
|---|---|---|
| Speaker diarization | Address | 点此 |
| 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-built Flutter APPs
Real-time speech recognition
| Description | URL | 中国用户 |
|---|---|---|
| Streaming speech recognition | Address | 点此 |
Text-to-speech
| Description | URL | 中国用户 |
|---|---|---|
| Android (arm64-v8a, armeabi-v7a, x86_64) | Address | 点此 |
| Linux (x64) | Address | 点此 |
| macOS (x64) | Address | 点此 |
| macOS (arm64) | Address | 点此 |
| Windows (x64) | Address | 点此 |
Note: You need to build from source for iOS.
Links for pre-built Lazarus APPs
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 |
| Speaker segmentation | 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.
Projects using sherpa-onnx
voiceapi
Streaming ASR and TTS based on FastAPI
It shows how to use the ASR and TTS Python APIs with FastAPI.
腾讯会议摸鱼工具 TMSpeech
Uses streaming ASR in C# with graphical user interface.
Video demo in Chinese: 【开源】Windows实时字幕软件（网课/开会必备）
lol互动助手
It uses the JavaScript API of sherpa-onnx along with Electron
Video demo in Chinese: 爆了！炫神教你开打字挂！真正影响胜率的英雄联盟工具！英雄联盟的最后一块拼图！和游戏中的每个人无障碍沟通！
最近版本更新:(数据更新于 2024-10-17 07:50:08)
2024-10-13 15:30:04 v1.10.28
2024-09-29 14:08:32 speaker-segmentation-models
2024-09-19 11:09:13 v1.10.27
2024-09-14 14:38:46 v1.10.26
2024-09-13 15:00:34 v1.10.25
2024-08-30 17:52:59 v1.10.24
2024-08-24 23:48:32 v1.10.23
2024-08-16 22:42:10 v1.10.22
2024-08-08 11:00:56 v1.10.21
2024-07-29 12:43:04 v1.10.20
主题(topics):
aarch64, android, arm32, asr, cpp, csharp, dotnet, ios, lazarus, linux, macos, mfc, object-pascal, onnx, raspberry-pi, risc-v, speech-to-text, text-to-speech, vits, windows
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