# sherpa-onnx **Repository Path**: doc5/sherpa-onnx ## Basic Information - **Project Name**: sherpa-onnx - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-02-11 - **Last Updated**: 2025-02-11 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ### 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 | 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) - 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
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][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]| |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]|
### 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][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] |
### Links for pre-built Flutter APPs
#### 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.
### Links for pre-built Lazarus APPs
#### Generating subtitles | Description | URL | 中国用户 | |--------------------------------|----------------------------|----------------------------| | Generate subtitles (生成字幕) | [Address][lazarus-subtitle]| [点此][lazarus-subtitle-cn]|
### Links for pre-trained models
| 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] |
#### Some pre-trained ASR models (Streaming)
Please see - - - 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)|
#### Some pre-trained ASR models (Non-Streaming)
Please see - - - - - 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)|
### 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 ### [voiceapi](https://github.com/ruzhila/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](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. [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 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