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### Supported functions
|Speech recognition| Speech synthesis | Speaker verification | Speaker identification |
|------------------|------------------|----------------------|------------------------|
| ✔️ | ✔️ | ✔️ | ✔️ |
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| Spoken Language identification | Audio tagging | Voice activity detection |
|--------------------------------|---------------|--------------------------|
| ✔️ | ✔️ | ✔️ |
| Keyword spotting | Add punctuation |
|------------------|-----------------|
| ✔️ | ✔️ |
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### Supported platforms
|Architecture| Android | iOS | Windows | macOS | linux |
|------------|------------------|---------------|------------|-------|-------|
| x64 | ✔️ | | ✔️ | ✔️ | ✔️ |
| x86 | ✔️ | | ✔️ | | |
| arm64 | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
| arm32 | ✔️ | | | | ✔️ |
| riscv64 | | | | | ✔️ |
### Supported programming languages
| 1. C++ | 2. C | 3. Python | 4. JavaScript |
|--------|-------|-----------|---------------|
| ✔️ | ✔️ | ✔️ | ✔️ |
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|5. Java | 6. C# | 7. Kotlin | 8. Swift |
|--------|-------|-----------|----------|
| ✔️ | ✔️ | ✔️ | ✔️ |
| 9. Go | 10. Dart | 11. Rust | 12. Pascal |
|-------|----------|----------|------------|
| ✔️ | ✔️ | ✔️ | ✔️ |
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For Rust support, please see https://github.com/thewh1teagle/sherpa-rs
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It also supports WebAssembly.
## Introduction
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This repository supports running the following functions **locally**
- Speech-to-text (i.e., ASR); both streaming and non-streaming are supported
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- Text-to-speech (i.e., TTS)
- Speaker identification
- Speaker verification
- Spoken language identification
- Audio tagging
- VAD (e.g., [silero-vad](https://github.com/snakers4/silero-vad))
- Keyword spotting
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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
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- iOS
- NodeJS
- WebAssembly
- [Raspberry Pi](https://www.raspberrypi.com/)
- [RV1126](https://www.rock-chips.com/uploads/pdf/2022.8.26/191/RV1126%20Brief%20Datasheet.pdf)
- [LicheePi4A](https://sipeed.com/licheepi4a)
- [VisionFive 2](https://www.starfivetech.com/en/site/boards)
- [旭日X3派](https://developer.horizon.ai/api/v1/fileData/documents_pi/index.html)
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- etc
with the following APIs
- C++, C, Python, Go, ``C#``
- Java, Kotlin, JavaScript
- Swift, Rust
- Dart, Object Pascal
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### 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 |
|---|---|
| Speech recognition | [Click me](https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition)|
| Speech recognition with [Whisper](https://github.com/openai/whisper)| [Click me](https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition-with-whisper)|
| Speech synthesis | [Click me](https://huggingface.co/spaces/k2-fsa/text-to-speech)|
| Generate subtitles| [Click me](https://huggingface.co/spaces/k2-fsa/generate-subtitles-for-videos)|
|Audio tagging| [Click me](https://huggingface.co/spaces/k2-fsa/audio-tagging)|
|Spoken language identification with [Whisper](https://github.com/openai/whisper)|[Click me](https://huggingface.co/spaces/k2-fsa/spoken-language-identification)|
We also have spaces built using WebAssembly. The are listed below:
| Description | URL| Chinese users|
|---|---|---|
|Voice activity detection with [silero-vad](https://github.com/snakers4/silero-vad)| [Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-vad-sherpa-onnx)|[地址](https://modelscope.cn/studios/csukuangfj/web-assembly-vad-sherpa-onnx)|
|Real-time speech recognition (Chinese + English) with Zipformer | [Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en)|[地址](https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en)|
|Real-time speech recognition (Chinese + English) with Paraformer|[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer)| [地址](https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer)|
|Real-time speech recognition (Chinese + English + Cantonese) with Paraformer|[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-cantonese-en-paraformer)| [地址](https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-cantonese-en-paraformer)|
|Real-time speech recognition (English) |[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-en)|[地址](https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-en)|
|Speech synthesis (English) |[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-tts-sherpa-onnx-en)| [地址](https://modelscope.cn/studios/k2-fsa/web-assembly-tts-sherpa-onnx-en)|
|Speech synthesis (German)|[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-tts-sherpa-onnx-de)| [地址](https://modelscope.cn/studios/k2-fsa/web-assembly-tts-sherpa-onnx-de)|
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### Links for pre-built Android APKs
| Description | URL | 中国用户 |
|--------------------------------|-----------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------|
| Streaming speech recognition | [Address](https://k2-fsa.github.io/sherpa/onnx/android/apk.html) | [点此](https://k2-fsa.github.io/sherpa/onnx/android/apk-cn.html) |
| Text-to-speech | [Address](https://k2-fsa.github.io/sherpa/onnx/tts/apk-engine.html) | [点此](https://k2-fsa.github.io/sherpa/onnx/tts/apk-engine-cn.html) |
|Voice activity detection (VAD) | [Address](https://k2-fsa.github.io/sherpa/onnx/vad/apk.html) | [点此](https://k2-fsa.github.io/sherpa/onnx/vad/apk-cn.html)|
|VAD + non-streaming speech recognition| [Address](https://k2-fsa.github.io/sherpa/onnx/vad/apk-asr.html)| [点此](https://k2-fsa.github.io/sherpa/onnx/vad/apk-asr-cn.html)|
|Two-pass speech recognition| [Address](https://k2-fsa.github.io/sherpa/onnx/android/apk-2pass.html)| [点此](https://k2-fsa.github.io/sherpa/onnx/android/apk-2pass-cn.html)|
| Audio tagging | [Address](https://k2-fsa.github.io/sherpa/onnx/audio-tagging/apk.html) | [点此](https://k2-fsa.github.io/sherpa/onnx/audio-tagging/apk-cn.html) |
| Audio tagging (WearOS) | [Address](https://k2-fsa.github.io/sherpa/onnx/audio-tagging/apk-wearos.html) | [点此](https://k2-fsa.github.io/sherpa/onnx/audio-tagging/apk-wearos-cn.html) |
| Speaker identification | [Address](https://k2-fsa.github.io/sherpa/onnx/speaker-identification/apk.html) | [点此](https://k2-fsa.github.io/sherpa/onnx/speaker-identification/apk-cn.html) |
| Spoken language identification | [Address](https://k2-fsa.github.io/sherpa/onnx/spoken-language-identification/apk.html) | [点此](https://k2-fsa.github.io/sherpa/onnx/spoken-language-identification/apk-cn.html) |
|Keyword spotting| [Address](https://k2-fsa.github.io/sherpa/onnx/kws/apk.html)| [点此](https://k2-fsa.github.io/sherpa/onnx/kws/apk-cn.html)|
### Links for pre-built Flutter APPs
#### Real-time speech recognition
| Description | URL | 中国用户 |
|--------------------------------|---------------------------------------------------------------------|---------------------------------------------------------------------|
| Streaming speech recognition | [Address](https://k2-fsa.github.io/sherpa/onnx/flutter/asr/app.html)| [点此](https://k2-fsa.github.io/sherpa/onnx/flutter/asr/app-cn.html)|
#### Text-to-speech
| Description | URL | 中国用户 |
|--------------------------------|--------------------------------------------------------------|-----------------------------------------------------------------------------|
| Android (arm64-v8a, armeabi-v7a, x86_64) | [Address](https://k2-fsa.github.io/sherpa/onnx/flutter/tts-android.html) | [点此](https://k2-fsa.github.io/sherpa/onnx/flutter/tts-android-cn.html)|
| Linux (x64) | [Address](https://k2-fsa.github.io/sherpa/onnx/flutter/tts-linux.html) | [点此](https://k2-fsa.github.io/sherpa/onnx/flutter/tts-linux-cn.html) |
| macOS (x64) | [Address](https://k2-fsa.github.io/sherpa/onnx/flutter/tts-macos-x64.html) | [点此](https://k2-fsa.github.io/sherpa/onnx/flutter/tts-macos-x64-cn.html) |
| macOS (arm64) | [Address](https://k2-fsa.github.io/sherpa/onnx/flutter/tts-macos-arm64.html) | [点此](https://k2-fsa.github.io/sherpa/onnx/flutter/tts-macos-arm64-cn.html)|
| Windows (x64) | [Address](https://k2-fsa.github.io/sherpa/onnx/flutter/tts-win.html) | [点此](https://k2-fsa.github.io/sherpa/onnx/flutter/tts-win-cn.html) |
> Note: You need to build from source for iOS.
### Links for pre-built Lazarus APPs
#### Generating subtitles
| Description | URL | 中国用户 |
|--------------------------------|---------------------------------------------------------------------|---------------------------------------------------------------------|
| Generate subtitles (生成字幕) | [Address](https://k2-fsa.github.io/sherpa/onnx/lazarus/download-generated-subtitles.html)| [点此](https://k2-fsa.github.io/sherpa/onnx/lazarus/download-generated-subtitles-cn.html)|
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### Links for pre-trained models
| Description | URL |
|--------------------------------|--------------------------------------------------------------------------------------------------------------------------------|
| Speech recognition (speech to text, ASR) | [Address](https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models) |
| Text-to-speech (TTS) | [Address](https://github.com/k2-fsa/sherpa-onnx/releases/tag/tts-models) |
| VAD | [Address](https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx)|
| Keyword spotting |[Address](https://github.com/k2-fsa/sherpa-onnx/releases/tag/kws-models)|
| Audio tagging | [Address](https://github.com/k2-fsa/sherpa-onnx/releases/tag/audio-tagging-models)|
| Speaker identification (Speaker ID) | [Address](https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-recongition-models)|
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| Spoken language identification (Language ID) | See multi-lingual [Whisper](https://github.com/openai/whisper) ASR models from [Speech recognition](https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models) |
| Punctuation| [Address](https://github.com/k2-fsa/sherpa-onnx/releases/tag/punctuation-models)|
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### Useful links
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- 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
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### How to reach us
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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**.