{"id":13454208,"url":"https://github.com/k2-fsa/sherpa-onnx","last_synced_at":"2026-01-16T16:02:36.465Z","repository":{"id":59956186,"uuid":"531380835","full_name":"k2-fsa/sherpa-onnx","owner":"k2-fsa","description":"Speech-to-text, text-to-speech, speaker diarization, speech enhancement, and VAD using next-gen Kaldi with onnxruntime without Internet connection. 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Model Codebases \u0026 Model Families"],"sub_categories":["Framework","Speech Toolkits \u0026 Libraries | 语音工具箱与库"],"readme":" ### Supported functions\n\n|Speech recognition| [Speech synthesis][tts-url] | [Source separation][ss-url] |\n|------------------|------------------|-------------------|\n|   ✔️              |         ✔️        |       ✔️           |\n\n|Speaker identification| [Speaker diarization][sd-url] | Speaker verification |\n|----------------------|-------------------- |------------------------|\n|   ✔️                  |         ✔️           |            ✔️           |\n\n| [Spoken Language identification][slid-url] | [Audio tagging][at-url] | [Voice activity detection][vad-url] |\n|--------------------------------|---------------|--------------------------|\n|                 ✔️              |          ✔️    |                ✔️         |\n\n| [Keyword spotting][kws-url] | [Add punctuation][punct-url] | [Speech enhancement][se-url] |\n|------------------|-----------------|--------------------|\n|     ✔️            |       ✔️         |      ✔️             |\n\n\n### Supported platforms\n\n|Architecture| Android | iOS     | Windows    | macOS | linux | HarmonyOS |\n|------------|---------|---------|------------|-------|-------|-----------|\n|   x64      |  ✔️      |         |   ✔️      | ✔️    |  ✔️    |   ✔️   |\n|   x86      |  ✔️      |         |   ✔️      |       |        |        |\n|   arm64    |  ✔️      | ✔️      |   ✔️      | ✔️    |  ✔️    |   ✔️   |\n|   arm32    |  ✔️      |         |           |       |  ✔️    |   ✔️   |\n|   riscv64  |          |         |           |       |  ✔️    |        |\n\n### Supported programming languages\n\n| 1. C++ | 2. C  | 3. Python | 4. JavaScript |\n|--------|-------|-----------|---------------|\n|   ✔️    | ✔️     | ✔️         |    ✔️          |\n\n|5. Java | 6. C# | 7. Kotlin | 8. Swift |\n|--------|-------|-----------|----------|\n| ✔️      |  ✔️    | ✔️         |  ✔️       |\n\n| 9. Go | 10. Dart | 11. Rust | 12. Pascal |\n|-------|----------|----------|------------|\n| ✔️     |  ✔️       |   ✔️      |    ✔️       |\n\nFor Rust support, please see [sherpa-rs][sherpa-rs]\n\nIt also supports WebAssembly.\n\n### Supported NPUs\n\n| [1. Rockchip NPU (RKNN)][rknpu-doc] | [2. Qualcomm NPU (QNN)][qnn-doc]  | [3. Ascend NPU][ascend-doc] |\n|-------------------------------------|-----------------------------------|-----------------------------|\n|     ✔️                              |                  ✔️               |     ✔️                      |\n\n| [4. Axera NPU][axera-npu] |\n|---------------------------|\n|     ✔️                    |\n\n[Join our discord](https://discord.gg/fJdxzg2VbG)\n\n\n## Introduction\n\nThis repository supports running the following functions **locally**\n\n  - Speech-to-text (i.e., ASR); both streaming and non-streaming are supported\n  - Text-to-speech (i.e., TTS)\n  - Speaker diarization\n  - Speaker identification\n  - Speaker verification\n  - Spoken language identification\n  - Audio tagging\n  - VAD (e.g., [silero-vad][silero-vad])\n  - Speech enhancement (e.g., [gtcrn][gtcrn])\n  - Keyword spotting\n  - Source separation (e.g., [spleeter][spleeter], [UVR][UVR])\n\non the following platforms and operating systems:\n\n  - x86, ``x86_64``, 32-bit ARM, 64-bit ARM (arm64, aarch64), RISC-V (riscv64), **RK NPU**, **Ascend NPU**\n  - Linux, macOS, Windows, openKylin\n  - Android, WearOS\n  - iOS\n  - HarmonyOS\n  - NodeJS\n  - WebAssembly\n  - [NVIDIA Jetson Orin NX][NVIDIA Jetson Orin NX] (Support running on both CPU and GPU)\n  - [NVIDIA Jetson Nano B01][NVIDIA Jetson Nano B01] (Support running on both CPU and GPU)\n  - [Raspberry Pi][Raspberry Pi]\n  - [RV1126][RV1126]\n  - [LicheePi4A][LicheePi4A]\n  - [VisionFive 2][VisionFive 2]\n  - [旭日X3派][旭日X3派]\n  - [爱芯派][爱芯派]\n  - [RK3588][RK3588]\n  - etc\n\nwith the following APIs\n\n  - C++, C, Python, Go, ``C#``\n  - Java, Kotlin, JavaScript\n  - Swift, Rust\n  - Dart, Object Pascal\n\n### Links for Huggingface Spaces\n\n\u003cdetails\u003e\n\u003csummary\u003eYou can visit the following Huggingface spaces to try sherpa-onnx without\ninstalling anything. All you need is a browser.\u003c/summary\u003e\n\n| Description                                           | URL                                     | 中国镜像                               |\n|-------------------------------------------------------|-----------------------------------------|----------------------------------------|\n| Speaker diarization                                   | [Click me][hf-space-speaker-diarization]| [镜像][hf-space-speaker-diarization-cn]|\n| Speech recognition                                    | [Click me][hf-space-asr]                | [镜像][hf-space-asr-cn]                |\n| Speech recognition with [Whisper][Whisper]            | [Click me][hf-space-asr-whisper]        | [镜像][hf-space-asr-whisper-cn]        |\n| Speech synthesis                                      | [Click me][hf-space-tts]                | [镜像][hf-space-tts-cn]                |\n| Generate subtitles                                    | [Click me][hf-space-subtitle]           | [镜像][hf-space-subtitle-cn]           |\n| Audio tagging                                         | [Click me][hf-space-audio-tagging]      | [镜像][hf-space-audio-tagging-cn]      |\n| Source separation                                     | [Click me][hf-space-source-separation]  | [镜像][hf-space-source-separation-cn]  |\n| Spoken language identification with [Whisper][Whisper]| [Click me][hf-space-slid-whisper]       | [镜像][hf-space-slid-whisper-cn]       |\n\nWe also have spaces built using WebAssembly. They are listed below:\n\n| Description                                                                              | Huggingface space| ModelScope space|\n|------------------------------------------------------------------------------------------|------------------|-----------------|\n|Voice activity detection with [silero-vad][silero-vad]                                    | [Click me][wasm-hf-vad]|[地址][wasm-ms-vad]|\n|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]|\n|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]|\n|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]|\n|Real-time speech recognition (English) |[Click me][wasm-hf-streaming-asr-en-zipformer]    |[地址][wasm-ms-streaming-asr-en-zipformer]|\n|VAD + speech recognition (Chinese) with [Zipformer CTC](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html#sherpa-onnx-zipformer-ctc-zh-int8-2025-07-03-chinese)|[Click me][wasm-hf-vad-asr-zh-zipformer-ctc-07-03]| [地址][wasm-ms-vad-asr-zh-zipformer-ctc-07-03]|\n|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]|\n|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]|\n|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]|\n|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]|\n|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]|\n|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]|\n|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]|\n|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]|\n|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]|\n|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]|\n|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]|\n|Speech synthesis (Piper, English)                                                                  |[Click me][wasm-hf-tts-piper-en]| [地址][wasm-ms-tts-piper-en]|\n|Speech synthesis (Piper, German)                                                                   |[Click me][wasm-hf-tts-piper-de]| [地址][wasm-ms-tts-piper-de]|\n|Speech synthesis (Matcha, Chinese)                                                                  |[Click me][wasm-hf-tts-matcha-zh]| [地址][wasm-ms-tts-matcha-zh]|\n|Speech synthesis (Matcha, English)                                                                  |[Click me][wasm-hf-tts-matcha-en]| [地址][wasm-ms-tts-matcha-en]|\n|Speech synthesis (Matcha, Chinese+English)                                                          |[Click me][wasm-hf-tts-matcha-zh-en]| [地址][wasm-ms-tts-matcha-zh-en]|\n|Speaker diarization                                                                         |[Click me][wasm-hf-speaker-diarization]|[地址][wasm-ms-speaker-diarization]|\n\n\u003c/details\u003e\n\n### Links for pre-built Android APKs\n\n\u003cdetails\u003e\n\n\u003csummary\u003eYou can find pre-built Android APKs for this repository in the following table\u003c/summary\u003e\n\n| Description                            | URL                                | 中国用户                          |\n|----------------------------------------|------------------------------------|-----------------------------------|\n| Speaker diarization                    | [Address][apk-speaker-diarization] | [点此][apk-speaker-diarization-cn]|\n| Streaming speech recognition           | [Address][apk-streaming-asr]       | [点此][apk-streaming-asr-cn]      |\n| Simulated-streaming speech recognition | [Address][apk-simula-streaming-asr]| [点此][apk-simula-streaming-asr-cn]|\n| Text-to-speech                         | [Address][apk-tts]                 | [点此][apk-tts-cn]                |\n| Voice activity detection (VAD)         | [Address][apk-vad]                 | [点此][apk-vad-cn]                |\n| VAD + non-streaming speech recognition | [Address][apk-vad-asr]             | [点此][apk-vad-asr-cn]            |\n| Two-pass speech recognition            | [Address][apk-2pass]               | [点此][apk-2pass-cn]              |\n| Audio tagging                          | [Address][apk-at]                  | [点此][apk-at-cn]                 |\n| Audio tagging (WearOS)                 | [Address][apk-at-wearos]           | [点此][apk-at-wearos-cn]          |\n| Speaker identification                 | [Address][apk-sid]                 | [点此][apk-sid-cn]                |\n| Spoken language identification         | [Address][apk-slid]                | [点此][apk-slid-cn]               |\n| Keyword spotting                       | [Address][apk-kws]                 | [点此][apk-kws-cn]                |\n\n\u003c/details\u003e\n\n### Links for pre-built Flutter APPs\n\n\u003cdetails\u003e\n\n#### Real-time speech recognition\n\n| Description                    | URL                                 | 中国用户                            |\n|--------------------------------|-------------------------------------|-------------------------------------|\n| Streaming speech recognition   | [Address][apk-flutter-streaming-asr]| [点此][apk-flutter-streaming-asr-cn]|\n\n#### Text-to-speech\n\n| Description                              | URL                                | 中国用户                           |\n|------------------------------------------|------------------------------------|------------------------------------|\n| Android (arm64-v8a, armeabi-v7a, x86_64) | [Address][flutter-tts-android]     | [点此][flutter-tts-android-cn]     |\n| Linux (x64)                              | [Address][flutter-tts-linux]       | [点此][flutter-tts-linux-cn]       |\n| macOS (x64)                              | [Address][flutter-tts-macos-x64]   | [点此][flutter-tts-macos-x64-cn] |\n| macOS (arm64)                            | [Address][flutter-tts-macos-arm64] | [点此][flutter-tts-macos-arm64-cn]   |\n| Windows (x64)                            | [Address][flutter-tts-win-x64]     | [点此][flutter-tts-win-x64-cn]     |\n\n\u003e Note: You need to build from source for iOS.\n\n\u003c/details\u003e\n\n### Links for pre-built Lazarus APPs\n\n\u003cdetails\u003e\n\n#### Generating subtitles\n\n| Description                    | URL                        | 中国用户                   |\n|--------------------------------|----------------------------|----------------------------|\n| Generate subtitles (生成字幕)  | [Address][lazarus-subtitle]| [点此][lazarus-subtitle-cn]|\n\n\u003c/details\u003e\n\n### Links for pre-trained models\n\n\u003cdetails\u003e\n\n| Description                                 | URL                                                                                   |\n|---------------------------------------------|---------------------------------------------------------------------------------------|\n| Speech recognition (speech to text, ASR)    | [Address][asr-models]                                                                 |\n| Text-to-speech (TTS)                        | [Address][tts-models]                                                                 |\n| VAD                                         | [Address][vad-models]                                                                 |\n| Keyword spotting                            | [Address][kws-models]                                                                 |\n| Audio tagging                               | [Address][at-models]                                                                  |\n| Speaker identification (Speaker ID)         | [Address][sid-models]                                                                 |\n| Spoken language identification (Language ID)| See multi-lingual [Whisper][Whisper] ASR models from  [Speech recognition][asr-models]|\n| Punctuation                                 | [Address][punct-models]                                                               |\n| Speaker segmentation                        | [Address][speaker-segmentation-models]                                                |\n| Speech enhancement                          | [Address][speech-enhancement-models]                                                  |\n| Source separation                           | [Address][source-separation-models]                                                  |\n\n\u003c/details\u003e\n\n#### Some pre-trained ASR models (Streaming)\n\n\u003cdetails\u003e\n\nPlease see\n\n  - \u003chttps://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/index.html\u003e\n  - \u003chttps://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-paraformer/index.html\u003e\n  - \u003chttps://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-ctc/index.html\u003e\n\nfor more models. The following table lists only **SOME** of them.\n\n\n|Name | Supported Languages| Description|\n|-----|-----|----|\n|[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)|\n|[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)|\n|[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)|\n|[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)|\n|[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)|\n|[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)|\n\n\u003c/details\u003e\n\n\n#### Some pre-trained ASR models (Non-Streaming)\n\n\u003cdetails\u003e\n\nPlease see\n\n  - \u003chttps://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/index.html\u003e\n  - \u003chttps://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-paraformer/index.html\u003e\n  - \u003chttps://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/index.html\u003e\n  - \u003chttps://k2-fsa.github.io/sherpa/onnx/pretrained_models/telespeech/index.html\u003e\n  - \u003chttps://k2-fsa.github.io/sherpa/onnx/pretrained_models/whisper/index.html\u003e\n\nfor more models. The following table lists only **SOME** of them.\n\n|Name | Supported Languages| Description|\n|-----|-----|----|\n|[sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/nemo-transducer-models.html#sherpa-onnx-nemo-parakeet-tdt-0-6b-v2-int8-english)| English | It is converted from \u003chttps://huggingface.co/nvidia/parakeet-tdt-0.6b-v2\u003e|\n|[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)|\n|[Moonshine tiny][Moonshine tiny]|English|See [also](https://github.com/usefulsensors/moonshine)|\n|[sherpa-onnx-zipformer-ctc-zh-int8-2025-07-03](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html#sherpa-onnx-zipformer-ctc-zh-int8-2025-07-03-chinese)|Chinese| A Zipformer CTC model|\n|[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)|\n|[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)|\n|[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)|\n|[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)|\n|[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)|\n|[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)|\n|[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)|\n|[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)|\n|[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)|\n\n\u003c/details\u003e\n\n### Useful links\n\n- Documentation: https://k2-fsa.github.io/sherpa/onnx/\n- Bilibili 演示视频: https://search.bilibili.com/all?keyword=%E6%96%B0%E4%B8%80%E4%BB%A3Kaldi\n\n### How to reach us\n\nPlease see\nhttps://k2-fsa.github.io/sherpa/social-groups.html\nfor 新一代 Kaldi **微信交流群** and **QQ 交流群**.\n\n## Projects using sherpa-onnx\n\n### [BreezeApp](https://github.com/mtkresearch/BreezeApp) from [MediaTek Research](https://github.com/mtkresearch)\n\n\u003e BreezeAPP is a mobile AI application developed for both Android and iOS platforms.\n\u003e Users can download it directly from the App Store and enjoy a variety of features\n\u003e offline, including speech-to-text, text-to-speech, text-based chatbot interactions,\n\u003e and image question-answering\n\n  - [Download APK for BreezeAPP](https://huggingface.co/MediaTek-Research/BreezeApp/resolve/main/BreezeApp.apk)\n  - [APK 中国镜像](https://hf-mirror.com/MediaTek-Research/BreezeApp/blob/main/BreezeApp.apk)\n\n| 1 | 2 | 3 |\n|---|---|---|\n|![](https://github.com/user-attachments/assets/1cdbc057-b893-4de6-9e9c-f1d7dfd1d992)|![](https://github.com/user-attachments/assets/d77cd98e-b057-442f-860d-d5befd5c769b)|![](https://github.com/user-attachments/assets/57e546bf-3d39-45b9-b392-b48ca4fb3c58)|\n\n### [Open-LLM-VTuber](https://github.com/t41372/Open-LLM-VTuber)\n\nTalk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking\nface running locally across platforms\n\nSee also \u003chttps://github.com/t41372/Open-LLM-VTuber/pull/50\u003e\n\n### [voiceapi](https://github.com/ruzhila/voiceapi)\n\n\u003cdetails\u003e\n  \u003csummary\u003eStreaming ASR and TTS based on FastAPI\u003c/summary\u003e\n\n\nIt shows how to use the ASR and TTS Python APIs with FastAPI.\n\u003c/details\u003e\n\n### [腾讯会议摸鱼工具 TMSpeech](https://github.com/jxlpzqc/TMSpeech)\n\nUses streaming ASR in C# with graphical user interface.\n\nVideo demo in Chinese: [【开源】Windows实时字幕软件（网课/开会必备）](https://www.bilibili.com/video/BV1rX4y1p7Nx)\n\n### [lol互动助手](https://github.com/l1veIn/lol-wom-electron)\n\nIt uses the JavaScript API of sherpa-onnx along with [Electron](https://electronjs.org/)\n\nVideo 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)\n\n### [Sherpa-ONNX 语音识别服务器](https://github.com/hfyydd/sherpa-onnx-server)\n\nA server based on nodejs providing Restful API for speech recognition.\n\n### [QSmartAssistant](https://github.com/xinhecuican/QSmartAssistant)\n\n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\n\nIt uses QT. Both [ASR](https://github.com/xinhecuican/QSmartAssistant/blob/master/doc/%E5%AE%89%E8%A3%85.md#asr)\nand [TTS](https://github.com/xinhecuican/QSmartAssistant/blob/master/doc/%E5%AE%89%E8%A3%85.md#tts)\nare used.\n\n### [Flutter-EasySpeechRecognition](https://github.com/Jason-chen-coder/Flutter-EasySpeechRecognition)\n\nIt extends [./flutter-examples/streaming_asr](./flutter-examples/streaming_asr) by\ndownloading models inside the app to reduce the size of the app.\n\nNote: [[Team B] Sherpa AI backend](https://github.com/umgc/spring2025/pull/82) also uses\nsherpa-onnx in a Flutter APP.\n\n### [sherpa-onnx-unity](https://github.com/xue-fei/sherpa-onnx-unity)\n\nsherpa-onnx in Unity. See also [#1695](https://github.com/k2-fsa/sherpa-onnx/issues/1695),\n[#1892](https://github.com/k2-fsa/sherpa-onnx/issues/1892), and [#1859](https://github.com/k2-fsa/sherpa-onnx/issues/1859)\n\n### [xiaozhi-esp32-server](https://github.com/xinnan-tech/xiaozhi-esp32-server)\n\n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\nBackend service for xiaozhi-esp32, helps you quickly build an ESP32 device control server.\n\nSee also\n\n  - [ASR新增轻量级sherpa-onnx-asr](https://github.com/xinnan-tech/xiaozhi-esp32-server/issues/315)\n  - [feat: ASR增加sherpa-onnx模型](https://github.com/xinnan-tech/xiaozhi-esp32-server/pull/379)\n\n### [KaithemAutomation](https://github.com/EternityForest/KaithemAutomation)\n\nPure Python, GUI-focused home automation/consumer grade SCADA.\n\nIt uses TTS from sherpa-onnx. See also [✨ Speak command that uses the new globally configured TTS model.](https://github.com/EternityForest/KaithemAutomation/commit/8e64d2b138725e426532f7d66bb69dd0b4f53693)\n\n### [Open-XiaoAI KWS](https://github.com/idootop/open-xiaoai-kws)\n\nEnable custom wake word for XiaoAi Speakers. 让小爱音箱支持自定义唤醒词。\n\nVideo demo in Chinese: [小爱同学启动～˶╹ꇴ╹˶！](https://www.bilibili.com/video/BV1YfVUz5EMj)\n\n### [C++ WebSocket ASR Server](https://github.com/mawwalker/stt-server)\n\nIt provides a WebSocket server based on C++ for ASR using sherpa-onnx.\n\n### [Go WebSocket Server](https://github.com/bbeyondllove/asr_server)\n\nIt provides a WebSocket server based on the Go programming language for sherpa-onnx.\n\n### [Making robot Paimon, Ep10 \"The AI Part 1\"](https://www.youtube.com/watch?v=KxPKkwxGWZs)\n\nIt is a [YouTube video](https://www.youtube.com/watch?v=KxPKkwxGWZs),\nshowing how the author tried to use AI so he can have a conversation with Paimon.\n\nIt uses sherpa-onnx for speech-to-text and text-to-speech.\n|1|\n|---|\n|![](https://github.com/user-attachments/assets/f6eea2d5-1807-42cb-9160-be8da2971e1f)|\n\n### [TtsReader - Desktop application](https://github.com/ys-pro-duction/TtsReader)\n\nA desktop text-to-speech application built using Kotlin Multiplatform.\n\n### [MentraOS](https://github.com/Mentra-Community/MentraOS)\n\n\u003e Smart glasses OS, with dozens of built-in apps. Users get AI assistant, notifications,\n\u003e translation, screen mirror, captions, and more. Devs get to write 1 app that runs on\n\u003e any pair of smart glasses.\n\nIt uses sherpa-onnx for real-time speech recognition on iOS and Android devices.\nSee also \u003chttps://github.com/Mentra-Community/MentraOS/pull/861\u003e\n\nIt uses Swift for iOS and Java for Android.\n\n### [flet_sherpa_onnx](https://github.com/SamYuan1990/flet_sherpa_onnx)\n\nFlet ASR/STT component based on sherpa-onnx.\nExample [a chat box agent](https://github.com/SamYuan1990/i18n-agent-action)\n\n### [achatbot-go](https://github.com/ai-bot-pro/achatbot-go)\n\na multimodal chatbot based on go with sherpa-onnx's speech lib api.\n\n[sherpa-rs]: https://github.com/thewh1teagle/sherpa-rs\n[silero-vad]: https://github.com/snakers4/silero-vad\n[Raspberry Pi]: https://www.raspberrypi.com/\n[RV1126]: https://www.rock-chips.com/uploads/pdf/2022.8.26/191/RV1126%20Brief%20Datasheet.pdf\n[LicheePi4A]: https://sipeed.com/licheepi4a\n[VisionFive 2]: https://www.starfivetech.com/en/site/boards\n[旭日X3派]: https://developer.horizon.ai/api/v1/fileData/documents_pi/index.html\n[爱芯派]: https://wiki.sipeed.com/hardware/zh/maixIII/ax-pi/axpi.html\n[hf-space-speaker-diarization]: https://huggingface.co/spaces/k2-fsa/speaker-diarization\n[hf-space-speaker-diarization-cn]: https://hf.qhduan.com/spaces/k2-fsa/speaker-diarization\n[hf-space-asr]: https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition\n[hf-space-asr-cn]: https://hf.qhduan.com/spaces/k2-fsa/automatic-speech-recognition\n[Whisper]: https://github.com/openai/whisper\n[hf-space-asr-whisper]: https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition-with-whisper\n[hf-space-asr-whisper-cn]: https://hf.qhduan.com/spaces/k2-fsa/automatic-speech-recognition-with-whisper\n[hf-space-tts]: https://huggingface.co/spaces/k2-fsa/text-to-speech\n[hf-space-tts-cn]: https://hf.qhduan.com/spaces/k2-fsa/text-to-speech\n[hf-space-subtitle]: https://huggingface.co/spaces/k2-fsa/generate-subtitles-for-videos\n[hf-space-subtitle-cn]: https://hf.qhduan.com/spaces/k2-fsa/generate-subtitles-for-videos\n[hf-space-audio-tagging]: https://huggingface.co/spaces/k2-fsa/audio-tagging\n[hf-space-audio-tagging-cn]: https://hf.qhduan.com/spaces/k2-fsa/audio-tagging\n[hf-space-source-separation]: https://huggingface.co/spaces/k2-fsa/source-separation\n[hf-space-source-separation-cn]: https://hf.qhduan.com/spaces/k2-fsa/source-separation\n[hf-space-slid-whisper]: https://huggingface.co/spaces/k2-fsa/spoken-language-identification\n[hf-space-slid-whisper-cn]: https://hf.qhduan.com/spaces/k2-fsa/spoken-language-identification\n[wasm-hf-vad]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-sherpa-onnx\n[wasm-ms-vad]: https://modelscope.cn/studios/csukuangfj/web-assembly-vad-sherpa-onnx\n[wasm-hf-streaming-asr-zh-en-zipformer]: https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en\n[wasm-ms-streaming-asr-zh-en-zipformer]: https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en\n[wasm-hf-streaming-asr-zh-en-paraformer]: https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer\n[wasm-ms-streaming-asr-zh-en-paraformer]: https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer\n[Paraformer-large]: https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary\n[wasm-hf-streaming-asr-zh-en-yue-paraformer]: https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-cantonese-en-paraformer\n[wasm-ms-streaming-asr-zh-en-yue-paraformer]: https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-cantonese-en-paraformer\n[wasm-hf-streaming-asr-en-zipformer]: https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-en\n[wasm-ms-streaming-asr-en-zipformer]: https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-en\n[SenseVoice]: https://github.com/FunAudioLLM/SenseVoice\n[wasm-hf-vad-asr-zh-zipformer-ctc-07-03]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-ctc\n[wasm-ms-vad-asr-zh-zipformer-ctc-07-03]: https://modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-ctc/summary\n[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\n[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\n[wasm-hf-vad-asr-en-whisper-tiny-en]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-whisper-tiny\n[wasm-ms-vad-asr-en-whisper-tiny-en]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-en-whisper-tiny\n[wasm-hf-vad-asr-en-moonshine-tiny-en]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-moonshine-tiny\n[wasm-ms-vad-asr-en-moonshine-tiny-en]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-en-moonshine-tiny\n[wasm-hf-vad-asr-en-zipformer-gigaspeech]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-zipformer-gigaspeech\n[wasm-ms-vad-asr-en-zipformer-gigaspeech]: https://www.modelscope.cn/studios/k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-zipformer-gigaspeech\n[wasm-hf-vad-asr-zh-zipformer-wenetspeech]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-wenetspeech\n[wasm-ms-vad-asr-zh-zipformer-wenetspeech]: https://www.modelscope.cn/studios/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-wenetspeech\n[reazonspeech]: https://research.reazon.jp/_static/reazonspeech_nlp2023.pdf\n[wasm-hf-vad-asr-ja-zipformer-reazonspeech]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-ja-zipformer\n[wasm-ms-vad-asr-ja-zipformer-reazonspeech]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-ja-zipformer\n[gigaspeech2]: https://github.com/speechcolab/gigaspeech2\n[wasm-hf-vad-asr-th-zipformer-gigaspeech2]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-th-zipformer\n[wasm-ms-vad-asr-th-zipformer-gigaspeech2]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-th-zipformer\n[telespeech-asr]: https://github.com/tele-ai/telespeech-asr\n[wasm-hf-vad-asr-zh-telespeech]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-telespeech\n[wasm-ms-vad-asr-zh-telespeech]: https://www.modelscope.cn/studios/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-telespeech\n[wasm-hf-vad-asr-zh-en-paraformer-large]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer\n[wasm-ms-vad-asr-zh-en-paraformer-large]: https://www.modelscope.cn/studios/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer\n[wasm-hf-vad-asr-zh-en-paraformer-small]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer-small\n[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\n[dolphin]: https://github.com/dataoceanai/dolphin\n[wasm-ms-vad-asr-multi-lang-dolphin-base]: https://modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-multi-lang-dophin-ctc\n[wasm-hf-vad-asr-multi-lang-dolphin-base]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-multi-lang-dophin-ctc\n\n[wasm-hf-tts-matcha-zh-en]: https://huggingface.co/spaces/k2-fsa/web-assembly-zh-en-tts-matcha\n[wasm-hf-tts-matcha-zh]: 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