### Supported functions

|Speech recognition| Speech synthesis |
|------------------|------------------|
|   ✔️              |         ✔️        |

|Speaker identification| Speaker diarization | Speaker verification |
|----------------------|-------------------- |------------------------|
|   ✔️                  |         ✔️           |            ✔️           |

| Spoken Language identification | Audio tagging | Voice activity detection |
|--------------------------------|---------------|--------------------------|
|                 ✔️              |          ✔️    |                ✔️         |

| Keyword spotting | Add punctuation | Speech enhancement |
|------------------|-----------------|--------------------|
|     ✔️            |       ✔️         |      ✔️             |

### Supported platforms

|Architecture| Android | iOS     | Windows    | macOS | linux | HarmonyOS |
|------------|---------|---------|------------|-------|-------|-----------|
|   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][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][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), **RK NPU**
  - Linux, macOS, Windows, openKylin
  - Android, WearOS
  - iOS
  - HarmonyOS
  - NodeJS
  - WebAssembly
  - [NVIDIA Jetson Orin NX][NVIDIA Jetson Orin NX] (Support running on both CPU and GPU)
  - [NVIDIA Jetson Nano B01][NVIDIA Jetson Nano B01] (Support running on both CPU and GPU)
  - [Raspberry Pi][Raspberry Pi]
  - [RV1126][RV1126]
  - [LicheePi4A][LicheePi4A]
  - [VisionFive 2][VisionFive 2]
  - [旭日X3派][旭日X3派]
  - [爱芯派][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

<details>
<summary>You can visit the following Huggingface spaces to try sherpa-onnx without
installing anything. All you need is a browser.</summary>

| Description                                           | URL                                     |
|-------------------------------------------------------|-----------------------------------------|
| Speaker diarization                                   | [Click me][hf-space-speaker-diarization]|
| Speech recognition                                    | [Click me][hf-space-asr]                |
| Speech recognition with [Whisper][Whisper]            | [Click me][hf-space-asr-whisper]        |
| Speech synthesis                                      | [Click me][hf-space-tts]                |
| Generate subtitles                                    | [Click me][hf-space-subtitle]           |
| Audio tagging                                         | [Click me][hf-space-audio-tagging]      |
| Spoken language identification with [Whisper][Whisper]| [Click me][hf-space-slid-whisper]       |

We also have spaces built using WebAssembly. They are listed below:

| Description                                                                              | Huggingface space| ModelScope space|
|------------------------------------------------------------------------------------------|------------------|-----------------|
|Voice activity detection with [silero-vad][silero-vad]                                    | [Click me][wasm-hf-vad]|[地址][wasm-ms-vad]|
|Real-time speech recognition (Chinese + English) with Zipformer                           | [Click me][wasm-hf-streaming-asr-zh-en-zipformer]|[地址][wasm-hf-streaming-asr-zh-en-zipformer]|
|Real-time speech recognition (Chinese + English) with Paraformer                          |[Click me][wasm-hf-streaming-asr-zh-en-paraformer]| [地址][wasm-ms-streaming-asr-zh-en-paraformer]|
|Real-time speech recognition (Chinese + English + Cantonese) with [Paraformer-large][Paraformer-large]|[Click me][wasm-hf-streaming-asr-zh-en-yue-paraformer]| [地址][wasm-ms-streaming-asr-zh-en-yue-paraformer]|
|Real-time speech recognition (English) |[Click me][wasm-hf-streaming-asr-en-zipformer]    |[地址][wasm-ms-streaming-asr-en-zipformer]|
|VAD + speech recognition (Chinese + English + Korean + Japanese + Cantonese) with [SenseVoice][SenseVoice]|[Click me][wasm-hf-vad-asr-zh-en-ko-ja-yue-sense-voice]| [地址][wasm-ms-vad-asr-zh-en-ko-ja-yue-sense-voice]|
|VAD + speech recognition (English) with [Whisper][Whisper] tiny.en|[Click me][wasm-hf-vad-asr-en-whisper-tiny-en]| [地址][wasm-ms-vad-asr-en-whisper-tiny-en]|
|VAD + speech recognition (English) with [Moonshine tiny][Moonshine tiny]|[Click me][wasm-hf-vad-asr-en-moonshine-tiny-en]| [地址][wasm-ms-vad-asr-en-moonshine-tiny-en]|
|VAD + speech recognition (English) with Zipformer trained with [GigaSpeech][GigaSpeech]    |[Click me][wasm-hf-vad-asr-en-zipformer-gigaspeech]| [地址][wasm-ms-vad-asr-en-zipformer-gigaspeech]|
|VAD + speech recognition (Chinese) with Zipformer trained with [WenetSpeech][WenetSpeech]  |[Click me][wasm-hf-vad-asr-zh-zipformer-wenetspeech]| [地址][wasm-ms-vad-asr-zh-zipformer-wenetspeech]|
|VAD + speech recognition (Japanese) with Zipformer trained with [ReazonSpeech][ReazonSpeech]|[Click me][wasm-hf-vad-asr-ja-zipformer-reazonspeech]| [地址][wasm-ms-vad-asr-ja-zipformer-reazonspeech]|
|VAD + speech recognition (Thai) with Zipformer trained with [GigaSpeech2][GigaSpeech2]      |[Click me][wasm-hf-vad-asr-th-zipformer-gigaspeech2]| [地址][wasm-ms-vad-asr-th-zipformer-gigaspeech2]|
|VAD + speech recognition (Chinese 多种方言) with a [TeleSpeech-ASR][TeleSpeech-ASR] CTC model|[Click me][wasm-hf-vad-asr-zh-telespeech]| [地址][wasm-ms-vad-asr-zh-telespeech]|
|VAD + speech recognition (English + Chinese, 及多种中文方言) with Paraformer-large          |[Click me][wasm-hf-vad-asr-zh-en-paraformer-large]| [地址][wasm-ms-vad-asr-zh-en-paraformer-large]|
|VAD + speech recognition (English + Chinese, 及多种中文方言) with Paraformer-small          |[Click me][wasm-hf-vad-asr-zh-en-paraformer-small]| [地址][wasm-ms-vad-asr-zh-en-paraformer-small]|
|VAD + speech recognition (多语种及多种中文方言) with [Dolphin][Dolphin]-base          |[Click me][wasm-hf-vad-asr-multi-lang-dolphin-base]| [地址][wasm-ms-vad-asr-multi-lang-dolphin-base]|
|Speech synthesis (English)                                                                  |[Click me][wasm-hf-tts-piper-en]| [地址][wasm-ms-tts-piper-en]|
|Speech synthesis (German)                                                                   |[Click me][wasm-hf-tts-piper-de]| [地址][wasm-ms-tts-piper-de]|
|Speaker diarization                                                                         |[Click me][wasm-hf-speaker-diarization]|[地址][wasm-ms-speaker-diarization]|

</details>

### Links for pre-built Android APKs

<details>

<summary>You can find pre-built Android APKs for this repository in the following table</summary>

| Description                            | URL                                | 中国用户                          |
|----------------------------------------|------------------------------------|-----------------------------------|
| Speaker diarization                    | [Address][apk-speaker-diarization] | [点此][apk-speaker-diarization-cn]|
| Streaming speech recognition           | [Address][apk-streaming-asr]       | [点此][apk-streaming-asr-cn]      |
| Text-to-speech                         | [Address][apk-tts]                 | [点此][apk-tts-cn]                |
| Voice activity detection (VAD)         | [Address][apk-vad]                 | [点此][apk-vad-cn]                |
| VAD + non-streaming speech recognition | [Address][apk-vad-asr]             | [点此][apk-vad-asr-cn]            |
| Two-pass speech recognition            | [Address][apk-2pass]               | [点此][apk-2pass-cn]              |
| Audio tagging                          | [Address][apk-at]                  | [点此][apk-at-cn]                 |
| Audio tagging (WearOS)                 | [Address][apk-at-wearos]           | [点此][apk-at-wearos-cn]          |
| Speaker identification                 | [Address][apk-sid]                 | [点此][apk-sid-cn]                |
| Spoken language identification         | [Address][apk-slid]                | [点此][apk-slid-cn]               |
| Keyword spotting                       | [Address][apk-kws]                 | [点此][apk-kws-cn]                |

</details>

### Links for pre-built Flutter APPs

<details>

#### Real-time speech recognition

| Description                    | URL                                 | 中国用户                            |
|--------------------------------|-------------------------------------|-------------------------------------|
| Streaming speech recognition   | [Address][apk-flutter-streaming-asr]| [点此][apk-flutter-streaming-asr-cn]|

#### Text-to-speech

| Description                              | URL                                | 中国用户                           |
|------------------------------------------|------------------------------------|------------------------------------|
| Android (arm64-v8a, armeabi-v7a, x86_64) | [Address][flutter-tts-android]     | [点此][flutter-tts-android-cn]     |
| Linux (x64)                              | [Address][flutter-tts-linux]       | [点此][flutter-tts-linux-cn]       |
| macOS (x64)                              | [Address][flutter-tts-macos-x64]   | [点此][flutter-tts-macos-arm64-cn] |
| macOS (arm64)                            | [Address][flutter-tts-macos-arm64] | [点此][flutter-tts-macos-x64-cn]   |
| Windows (x64)                            | [Address][flutter-tts-win-x64]     | [点此][flutter-tts-win-x64-cn]     |

> Note: You need to build from source for iOS.

</details>

### Links for pre-built Lazarus APPs

<details>

#### Generating subtitles

| Description                    | URL                        | 中国用户                   |
|--------------------------------|----------------------------|----------------------------|
| Generate subtitles (生成字幕)  | [Address][lazarus-subtitle]| [点此][lazarus-subtitle-cn]|

</details>

### Links for pre-trained models

<details>

| Description                                 | URL                                                                                   |
|---------------------------------------------|---------------------------------------------------------------------------------------|
| Speech recognition (speech to text, ASR)    | [Address][asr-models]                                                                 |
| Text-to-speech (TTS)                        | [Address][tts-models]                                                                 |
| VAD                                         | [Address][vad-models]                                                                 |
| Keyword spotting                            | [Address][kws-models]                                                                 |
| Audio tagging                               | [Address][at-models]                                                                  |
| Speaker identification (Speaker ID)         | [Address][sid-models]                                                                 |
| Spoken language identification (Language ID)| See multi-lingual [Whisper][Whisper] ASR models from  [Speech recognition][asr-models]|
| Punctuation                                 | [Address][punct-models]                                                               |
| Speaker segmentation                        | [Address][speaker-segmentation-models]                                                |
| Speech enhancement                          | [Address][speech-enhancement-models]                                                  |

</details>

#### Some pre-trained ASR models (Streaming)

<details>

Please see

  - <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/index.html>
  - <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-paraformer/index.html>
  - <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-ctc/index.html>

for more models. The following table lists only **SOME** of them.


|Name | Supported Languages| Description|
|-----|-----|----|
|[sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20][sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20]| Chinese, English| See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html#csukuangfj-sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20-bilingual-chinese-english)|
|[sherpa-onnx-streaming-zipformer-small-bilingual-zh-en-2023-02-16][sherpa-onnx-streaming-zipformer-small-bilingual-zh-en-2023-02-16]| Chinese, English| See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html#sherpa-onnx-streaming-zipformer-small-bilingual-zh-en-2023-02-16-bilingual-chinese-english)|
|[sherpa-onnx-streaming-zipformer-zh-14M-2023-02-23][sherpa-onnx-streaming-zipformer-zh-14M-2023-02-23]|Chinese| Suitable for Cortex A7 CPU. See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html#sherpa-onnx-streaming-zipformer-zh-14m-2023-02-23)|
|[sherpa-onnx-streaming-zipformer-en-20M-2023-02-17][sherpa-onnx-streaming-zipformer-en-20M-2023-02-17]|English|Suitable for Cortex A7 CPU. See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html#sherpa-onnx-streaming-zipformer-en-20m-2023-02-17)|
|[sherpa-onnx-streaming-zipformer-korean-2024-06-16][sherpa-onnx-streaming-zipformer-korean-2024-06-16]|Korean| See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html#sherpa-onnx-streaming-zipformer-korean-2024-06-16-korean)|
|[sherpa-onnx-streaming-zipformer-fr-2023-04-14][sherpa-onnx-streaming-zipformer-fr-2023-04-14]|French| See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html#shaojieli-sherpa-onnx-streaming-zipformer-fr-2023-04-14-french)|

</details>


#### Some pre-trained ASR models (Non-Streaming)

<details>

Please see

  - <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/index.html>
  - <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-paraformer/index.html>
  - <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/index.html>
  - <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/telespeech/index.html>
  - <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/whisper/index.html>

for more models. The following table lists only **SOME** of them.

|Name | Supported Languages| Description|
|-----|-----|----|
|[Whisper tiny.en](https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-whisper-tiny.en.tar.bz2)|English| See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/whisper/tiny.en.html)|
|[Moonshine tiny][Moonshine tiny]|English|See [also](https://github.com/usefulsensors/moonshine)|
|[sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17][sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17]|Chinese, Cantonese, English, Korean, Japanese| 支持多种中文方言. See [also](https://k2-fsa.github.io/sherpa/onnx/sense-voice/index.html)|
|[sherpa-onnx-paraformer-zh-2024-03-09][sherpa-onnx-paraformer-zh-2024-03-09]|Chinese, English| 也支持多种中文方言. See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-paraformer/paraformer-models.html#csukuangfj-sherpa-onnx-paraformer-zh-2024-03-09-chinese-english)|
|[sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01][sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01]|Japanese|See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/zipformer-transducer-models.html#sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01-japanese)|
|[sherpa-onnx-nemo-transducer-giga-am-russian-2024-10-24][sherpa-onnx-nemo-transducer-giga-am-russian-2024-10-24]|Russian|See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/nemo-transducer-models.html#sherpa-onnx-nemo-transducer-giga-am-russian-2024-10-24-russian)|
|[sherpa-onnx-nemo-ctc-giga-am-russian-2024-10-24][sherpa-onnx-nemo-ctc-giga-am-russian-2024-10-24]|Russian| See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/nemo/russian.html#sherpa-onnx-nemo-ctc-giga-am-russian-2024-10-24)|
|[sherpa-onnx-zipformer-ru-2024-09-18][sherpa-onnx-zipformer-ru-2024-09-18]|Russian|See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/zipformer-transducer-models.html#sherpa-onnx-zipformer-ru-2024-09-18-russian)|
|[sherpa-onnx-zipformer-korean-2024-06-24][sherpa-onnx-zipformer-korean-2024-06-24]|Korean|See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/zipformer-transducer-models.html#sherpa-onnx-zipformer-korean-2024-06-24-korean)|
|[sherpa-onnx-zipformer-thai-2024-06-20][sherpa-onnx-zipformer-thai-2024-06-20]|Thai| See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/zipformer-transducer-models.html#sherpa-onnx-zipformer-thai-2024-06-20-thai)|
|[sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04][sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04]|Chinese| 支持多种方言. See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/telespeech/models.html#sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04)|

</details>

### 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

### [Open-LLM-VTuber](https://github.com/t41372/Open-LLM-VTuber)

Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking
face running locally across platforms

See also <https://github.com/t41372/Open-LLM-VTuber/pull/50>

### [voiceapi](https://github.com/ruzhila/voiceapi)

<details>
  <summary>Streaming ASR and TTS based on FastAPI</summary>


It shows how to use the ASR and TTS Python APIs with FastAPI.
</details>

### [腾讯会议摸鱼工具 TMSpeech](https://github.com/jxlpzqc/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）](https://www.bilibili.com/video/BV1rX4y1p7Nx)

### [lol互动助手](https://github.com/l1veIn/lol-wom-electron)

It uses the JavaScript API of sherpa-onnx along with [Electron](https://electronjs.org/)

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！](https://www.bilibili.com/video/BV142tje9E74)

### [Sherpa-ONNX 语音识别服务器](https://github.com/hfyydd/sherpa-onnx-server)

A server based on nodejs providing Restful API for speech recognition.

### [QSmartAssistant](https://github.com/xinhecuican/QSmartAssistant)

一个模块化，全过程可离线，低占用率的对话机器人/智能音箱

It uses QT. Both [ASR](https://github.com/xinhecuican/QSmartAssistant/blob/master/doc/%E5%AE%89%E8%A3%85.md#asr)
and [TTS](https://github.com/xinhecuican/QSmartAssistant/blob/master/doc/%E5%AE%89%E8%A3%85.md#tts)
are used.

### [Flutter-EasySpeechRecognition](https://github.com/Jason-chen-coder/Flutter-EasySpeechRecognition)

It extends [./flutter-examples/streaming_asr](./flutter-examples/streaming_asr) by
downloading models inside the app to reduce the size of the app.

Note: [[Team B] Sherpa AI backend](https://github.com/umgc/spring2025/pull/82) also uses
sherpa-onnx in a Flutter APP.

### [sherpa-onnx-unity](https://github.com/xue-fei/sherpa-onnx-unity)

sherpa-onnx in Unity. See also [#1695](https://github.com/k2-fsa/sherpa-onnx/issues/1695),
[#1892](https://github.com/k2-fsa/sherpa-onnx/issues/1892), and [#1859](https://github.com/k2-fsa/sherpa-onnx/issues/1859)

### [xiaozhi-esp32-server](https://github.com/xinnan-tech/xiaozhi-esp32-server)

本项目为xiaozhi-esp32提供后端服务，帮助您快速搭建ESP32设备控制服务器
Backend service for xiaozhi-esp32, helps you quickly build an ESP32 device control server.

See also

  - [ASR新增轻量级sherpa-onnx-asr](https://github.com/xinnan-tech/xiaozhi-esp32-server/issues/315)
  - [feat: ASR增加sherpa-onnx模型](https://github.com/xinnan-tech/xiaozhi-esp32-server/pull/379)

### [KaithemAutomation](https://github.com/EternityForest/KaithemAutomation)

Pure Python, GUI-focused home automation/consumer grade SCADA.

It uses TTS from sherpa-onnx. See also [✨ Speak command that uses the new globally configured TTS model.](https://github.com/EternityForest/KaithemAutomation/commit/8e64d2b138725e426532f7d66bb69dd0b4f53693)

### [Open-XiaoAI KWS](https://github.com/idootop/open-xiaoai-kws)

Enable custom wake word for XiaoAi Speakers. 让小爱音箱支持自定义唤醒词。

Video demo in Chinese: [小爱同学启动～˶╹ꇴ╹˶！](https://www.bilibili.com/video/BV1YfVUz5EMj)

### [Making robot Paimon, Ep10 "The AI Part 1"](https://www.youtube.com/watch?v=KxPKkwxGWZs)

It is a [YouTube video](https://www.youtube.com/watch?v=KxPKkwxGWZs),
showing how the author tried to use AI so he can have a conversation with Paimon.

It uses sherpa-onnx for speech-to-text and text-to-speech.
![](https://private-user-images.githubusercontent.com/5284924/442579664-f6eea2d5-1807-42cb-9160-be8da2971e1f.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9. .WP-v8oKPqQ-s487-eUU2Z4quOfWbwDJQJok89NfkTf4)

[sherpa-rs]: https://github.com/thewh1teagle/sherpa-rs
[silero-vad]: https://github.com/snakers4/silero-vad
[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
[爱芯派]: https://wiki.sipeed.com/hardware/zh/maixIII/ax-pi/axpi.html
[hf-space-speaker-diarization]: https://huggingface.co/spaces/k2-fsa/speaker-diarization
[hf-space-asr]: https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition
[Whisper]: https://github.com/openai/whisper
[hf-space-asr-whisper]: https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition-with-whisper
[hf-space-tts]: https://huggingface.co/spaces/k2-fsa/text-to-speech
[hf-space-subtitle]: https://huggingface.co/spaces/k2-fsa/generate-subtitles-for-videos
[hf-space-audio-tagging]: https://huggingface.co/spaces/k2-fsa/audio-tagging
[hf-space-slid-whisper]: https://huggingface.co/spaces/k2-fsa/spoken-language-identification
[wasm-hf-vad]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-sherpa-onnx
[wasm-ms-vad]: https://modelscope.cn/studios/csukuangfj/web-assembly-vad-sherpa-onnx
[wasm-hf-streaming-asr-zh-en-zipformer]: https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en
[wasm-ms-streaming-asr-zh-en-zipformer]: https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en
[wasm-hf-streaming-asr-zh-en-paraformer]: https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer
[wasm-ms-streaming-asr-zh-en-paraformer]: https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer
[Paraformer-large]: https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary
[wasm-hf-streaming-asr-zh-en-yue-paraformer]: https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-cantonese-en-paraformer
[wasm-ms-streaming-asr-zh-en-yue-paraformer]: https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-cantonese-en-paraformer
[wasm-hf-streaming-asr-en-zipformer]: https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-en
[wasm-ms-streaming-asr-en-zipformer]: https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-en
[SenseVoice]: https://github.com/FunAudioLLM/SenseVoice
[wasm-hf-vad-asr-zh-en-ko-ja-yue-sense-voice]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-ja-ko-cantonese-sense-voice
[wasm-ms-vad-asr-zh-en-ko-ja-yue-sense-voice]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-zh-en-jp-ko-cantonese-sense-voice
[wasm-hf-vad-asr-en-whisper-tiny-en]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-whisper-tiny
[wasm-ms-vad-asr-en-whisper-tiny-en]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-en-whisper-tiny
[wasm-hf-vad-asr-en-moonshine-tiny-en]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-moonshine-tiny
[wasm-ms-vad-asr-en-moonshine-tiny-en]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-en-moonshine-tiny
[wasm-hf-vad-asr-en-zipformer-gigaspeech]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-zipformer-gigaspeech
[wasm-ms-vad-asr-en-zipformer-gigaspeech]: https://www.modelscope.cn/studios/k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-zipformer-gigaspeech
[wasm-hf-vad-asr-zh-zipformer-wenetspeech]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-wenetspeech
[wasm-ms-vad-asr-zh-zipformer-wenetspeech]: https://www.modelscope.cn/studios/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-wenetspeech
[ReazonSpeech]: https://research.reazon.jp/_static/reazonspeech_nlp2023.pdf
[wasm-hf-vad-asr-ja-zipformer-reazonspeech]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-ja-zipformer
[wasm-ms-vad-asr-ja-zipformer-reazonspeech]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-ja-zipformer
[GigaSpeech2]: https://github.com/SpeechColab/GigaSpeech2
[wasm-hf-vad-asr-th-zipformer-gigaspeech2]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-th-zipformer
[wasm-ms-vad-asr-th-zipformer-gigaspeech2]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-th-zipformer
[TeleSpeech-ASR]: https://github.com/Tele-AI/TeleSpeech-ASR
[wasm-hf-vad-asr-zh-telespeech]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-telespeech
[wasm-ms-vad-asr-zh-telespeech]: https://www.modelscope.cn/studios/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-telespeech
[wasm-hf-vad-asr-zh-en-paraformer-large]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer
[wasm-ms-vad-asr-zh-en-paraformer-large]: https://www.modelscope.cn/studios/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer
[wasm-hf-vad-asr-zh-en-paraformer-small]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer-small
[wasm-ms-vad-asr-zh-en-paraformer-small]: https://www.modelscope.cn/studios/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer-small
[Dolphin]: https://github.com/DataoceanAI/Dolphin
[wasm-ms-vad-asr-multi-lang-dolphin-base]: https://modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-multi-lang-dophin-ctc
[wasm-hf-vad-asr-multi-lang-dolphin-base]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-multi-lang-dophin-ctc

[wasm-hf-tts-piper-en]: https://huggingface.co/spaces/k2-fsa/web-assembly-tts-sherpa-onnx-en
[wasm-ms-tts-piper-en]: https://modelscope.cn/studios/k2-fsa/web-assembly-tts-sherpa-onnx-en
[wasm-hf-tts-piper-de]: https://huggingface.co/spaces/k2-fsa/web-assembly-tts-sherpa-onnx-de
[wasm-ms-tts-piper-de]: https://modelscope.cn/studios/k2-fsa/web-assembly-tts-sherpa-onnx-de
[wasm-hf-speaker-diarization]: https://huggingface.co/spaces/k2-fsa/web-assembly-speaker-diarization-sherpa-onnx
[wasm-ms-speaker-diarization]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-speaker-diarization-sherpa-onnx
[apk-speaker-diarization]: https://k2-fsa.github.io/sherpa/onnx/speaker-diarization/apk.html
[apk-speaker-diarization-cn]: https://k2-fsa.github.io/sherpa/onnx/speaker-diarization/apk-cn.html
[apk-streaming-asr]: https://k2-fsa.github.io/sherpa/onnx/android/apk.html
[apk-streaming-asr-cn]: https://k2-fsa.github.io/sherpa/onnx/android/apk-cn.html
[apk-tts]: https://k2-fsa.github.io/sherpa/onnx/tts/apk-engine.html
[apk-tts-cn]: https://k2-fsa.github.io/sherpa/onnx/tts/apk-engine-cn.html
[apk-vad]: https://k2-fsa.github.io/sherpa/onnx/vad/apk.html
[apk-vad-cn]: https://k2-fsa.github.io/sherpa/onnx/vad/apk-cn.html
[apk-vad-asr]: https://k2-fsa.github.io/sherpa/onnx/vad/apk-asr.html
[apk-vad-asr-cn]: https://k2-fsa.github.io/sherpa/onnx/vad/apk-asr-cn.html
[apk-2pass]: https://k2-fsa.github.io/sherpa/onnx/android/apk-2pass.html
[apk-2pass-cn]: https://k2-fsa.github.io/sherpa/onnx/android/apk-2pass-cn.html
[apk-at]: https://k2-fsa.github.io/sherpa/onnx/audio-tagging/apk.html
[apk-at-cn]: https://k2-fsa.github.io/sherpa/onnx/audio-tagging/apk-cn.html
[apk-at-wearos]: https://k2-fsa.github.io/sherpa/onnx/audio-tagging/apk-wearos.html
[apk-at-wearos-cn]: https://k2-fsa.github.io/sherpa/onnx/audio-tagging/apk-wearos-cn.html
[apk-sid]: https://k2-fsa.github.io/sherpa/onnx/speaker-identification/apk.html
[apk-sid-cn]: https://k2-fsa.github.io/sherpa/onnx/speaker-identification/apk-cn.html
[apk-slid]: https://k2-fsa.github.io/sherpa/onnx/spoken-language-identification/apk.html
[apk-slid-cn]: https://k2-fsa.github.io/sherpa/onnx/spoken-language-identification/apk-cn.html
[apk-kws]: https://k2-fsa.github.io/sherpa/onnx/kws/apk.html
[apk-kws-cn]: https://k2-fsa.github.io/sherpa/onnx/kws/apk-cn.html
[apk-flutter-streaming-asr]: https://k2-fsa.github.io/sherpa/onnx/flutter/asr/app.html
[apk-flutter-streaming-asr-cn]: https://k2-fsa.github.io/sherpa/onnx/flutter/asr/app-cn.html
[flutter-tts-android]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-android.html
[flutter-tts-android-cn]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-android-cn.html
[flutter-tts-linux]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-linux.html
[flutter-tts-linux-cn]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-linux-cn.html
[flutter-tts-macos-x64]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-macos-x64.html
[flutter-tts-macos-arm64-cn]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-macos-x64-cn.html
[flutter-tts-macos-arm64]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-macos-arm64.html
[flutter-tts-macos-x64-cn]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-macos-arm64-cn.html
[flutter-tts-win-x64]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-win.html
[flutter-tts-win-x64-cn]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-win-cn.html
[lazarus-subtitle]: https://k2-fsa.github.io/sherpa/onnx/lazarus/download-generated-subtitles.html
[lazarus-subtitle-cn]: https://k2-fsa.github.io/sherpa/onnx/lazarus/download-generated-subtitles-cn.html
[asr-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
[tts-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/tts-models
[vad-models]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx
[kws-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/kws-models
[at-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/audio-tagging-models
[sid-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-recongition-models
[slid-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-recongition-models
[punct-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/punctuation-models
[speaker-segmentation-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-segmentation-models
[GigaSpeech]: https://github.com/SpeechColab/GigaSpeech
[WenetSpeech]: https://github.com/wenet-e2e/WenetSpeech
[sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
[sherpa-onnx-streaming-zipformer-small-bilingual-zh-en-2023-02-16]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-small-bilingual-zh-en-2023-02-16.tar.bz2
[sherpa-onnx-streaming-zipformer-korean-2024-06-16]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-korean-2024-06-16.tar.bz2
[sherpa-onnx-streaming-zipformer-zh-14M-2023-02-23]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-zh-14M-2023-02-23.tar.bz2
[sherpa-onnx-streaming-zipformer-en-20M-2023-02-17]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-en-20M-2023-02-17.tar.bz2
[sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01.tar.bz2
[sherpa-onnx-zipformer-ru-2024-09-18]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-ru-2024-09-18.tar.bz2
[sherpa-onnx-zipformer-korean-2024-06-24]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-korean-2024-06-24.tar.bz2
[sherpa-onnx-zipformer-thai-2024-06-20]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-thai-2024-06-20.tar.bz2
[sherpa-onnx-nemo-transducer-giga-am-russian-2024-10-24]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-transducer-giga-am-russian-2024-10-24.tar.bz2
[sherpa-onnx-paraformer-zh-2024-03-09]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2024-03-09.tar.bz2
[sherpa-onnx-nemo-ctc-giga-am-russian-2024-10-24]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-ctc-giga-am-russian-2024-10-24.tar.bz2
[sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04.tar.bz2
[sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
[sherpa-onnx-streaming-zipformer-fr-2023-04-14]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-fr-2023-04-14.tar.bz2
[Moonshine tiny]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-moonshine-tiny-en-int8.tar.bz2
[NVIDIA Jetson Orin NX]: https://developer.download.nvidia.com/assets/embedded/secure/jetson/orin_nx/docs/Jetson_Orin_NX_DS-10712-001_v0.5.pdf?RCPGu9Q6OVAOv7a7vgtwc9-BLScXRIWq6cSLuditMALECJ_dOj27DgnqAPGVnT2VpiNpQan9SyFy-9zRykR58CokzbXwjSA7Gj819e91AXPrWkGZR3oS1VLxiDEpJa_Y0lr7UT-N4GnXtb8NlUkP4GkCkkF_FQivGPrAucCUywL481GH_WpP_p7ziHU1Wg==&t=eyJscyI6ImdzZW8iLCJsc2QiOiJodHRwczovL3d3dy5nb29nbGUuY29tLmhrLyJ9
[NVIDIA Jetson Nano B01]: https://www.seeedstudio.com/blog/2020/01/16/new-revision-of-jetson-nano-dev-kit-now-supports-new-jetson-nano-module/
[speech-enhancement-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/speech-enhancement-models
