diff --git a/crates/sherpa-onnx-sys/README.md b/crates/sherpa-onnx-sys/README.md index fbfe242be..14fa1e5f2 100644 --- a/crates/sherpa-onnx-sys/README.md +++ b/crates/sherpa-onnx-sys/README.md @@ -1,690 +1,51 @@ -
+# sherpa-onnx-sys for Buzz voice clients -[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/k2-fsa/sherpa-onnx) +This package contains the crates.io `sherpa-onnx-sys` 1.13.4 FFI sources +with a build script that supports caller-prepared mobile libraries. The +bindings, package metadata, license, and `Cargo.toml.orig` preserve their +upstream provenance. -
+## Link modes -Buzz carries the crates.io 1.13.4 FFI sources and locally patches the build -script to link caller-prepared official iOS and Android libraries through -`SHERPA_ONNX_LIB_DIR`. Desktop archive selection remains unchanged. +`buzz-voice` exposes two mutually exclusive features: + +- `static` is the default and is used by desktop and iOS clients. +- `shared` is used by Android clients. + +A shared consumer must disable the default static feature: + +```toml +[target.'cfg(target_os = "android")'.dependencies] +buzz-voice = { git = "https://github.com/block/buzz.git", rev = "", default-features = false, features = ["shared"] } + +[target.'cfg(target_os = "ios")'.dependencies] +buzz-voice = { git = "https://github.com/block/buzz.git", rev = "", default-features = false, features = ["static"] } + +[patch.crates-io] +sherpa-onnx-sys = { git = "https://github.com/block/buzz.git", rev = "" } +``` + +Cargo does not propagate `[patch.crates-io]` from dependencies, so the +application workspace owns that patch. + +## Mobile native libraries The application that produces the final native library owns archive download, -checksum verification, slice selection, and packaging. It must select the -`static` feature for iOS and the `shared` feature for Android. Because Cargo -does not propagate `[patch.crates-io]` from dependencies, that application's -workspace root must also patch `sherpa-onnx-sys` to this package. - +checksum verification, target-slice selection, and packaging. `SHERPA_ONNX_LIB_DIR` points to the selected target's normalized link -directory, not the root of the downloaded archive: +directory: -- iOS contains `libsherpa-onnx.a` and `libonnxruntime.a`. A consumer can - extract the matching binaries from the official sherpa and ONNX Runtime - XCFramework slices. +- iOS contains `libsherpa-onnx.a` and `libonnxruntime.a`, extracted from + the matching official XCFramework slices. - Android contains `libsherpa-onnx-c-api.so` and `libonnxruntime.so` from the matching official ABI directory. -The consumer remains responsible for embedding those libraries and the -platform C++ runtime in its Xcode or Gradle product. Buzz Desktop's independent -Tauri workspace is a desktop consumer and does not select these mobile modes. +The consumer embeds these libraries and the platform C++ runtime in its Xcode +or Gradle product. Mobile builds fail closed when +`SHERPA_ONNX_LIB_DIR` is missing or invalid. Supported desktop targets select +and download the matching official archive when a caller does not provide a +library directory. - ### Supported functions +Upstream project: -|Speech recognition| [Speech synthesis][tts-url] | [Source separation][ss-url] | -|------------------|------------------|-------------------| -| ✔️ | ✔️ | ✔️ | - -|Speaker identification| [Speaker diarization][sd-url] | Speaker verification | -|----------------------|-------------------- |------------------------| -| ✔️ | ✔️ | ✔️ | - -| [Spoken Language identification][slid-url] | [Audio tagging][at-url] | [Voice activity detection][vad-url] | -|--------------------------------|---------------|--------------------------| -| ✔️ | ✔️ | ✔️ | - -| [Keyword spotting][kws-url] | [Add punctuation][punct-url] | [Speech enhancement][se-url] | -|------------------|-----------------|--------------------| -| ✔️ | ✔️ | ✔️ | - - -### 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 | -|-------|----------|----------|------------| -| ✔️ | ✔️ | ✔️ | ✔️ | - - -It also supports WebAssembly. - -### Supported NPUs - -| [1. Rockchip NPU (RKNN)][rknpu-doc] | [2. Qualcomm NPU (QNN)][qnn-doc] | [3. Ascend NPU][ascend-doc] | -|-------------------------------------|-----------------------------------|-----------------------------| -| ✔️ | ✔️ | ✔️ | - -| [4. Axera NPU][axera-npu] | -|---------------------------| -| ✔️ | - -[Join our discord](https://discord.gg/fJdxzg2VbG) - - -## 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]) - - Speech enhancement (e.g., [gtcrn][gtcrn], [DPDFNet](https://github.com/ceva-ip/DPDFNet)) - - Keyword spotting - - Source separation (e.g., [spleeter][spleeter], [UVR][UVR]) - -on the following platforms and operating systems: - - - x86, ``x86_64``, 32-bit ARM, 64-bit ARM (arm64, aarch64), RISC-V (riscv64), **RK NPU**, **Ascend 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] - - [RK3588][RK3588] - - [SpacemiT-K1][SpacemiT-K1] - - [SpacemiT-K3][SpacemiT-K3] - - 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 | 中国镜像 | -|-------------------------------------------------------|-----------------------------------------|----------------------------------------| -| Speaker diarization | [Click me][hf-space-speaker-diarization]| [镜像][hf-space-speaker-diarization-cn]| -| Speech recognition | [Click me][hf-space-asr] | [镜像][hf-space-asr-cn] | -| Speech recognition with [Whisper][Whisper] | [Click me][hf-space-asr-whisper] | [镜像][hf-space-asr-whisper-cn] | -| Speech synthesis | [Click me][hf-space-tts] | [镜像][hf-space-tts-cn] | -| Generate subtitles | [Click me][hf-space-subtitle] | [镜像][hf-space-subtitle-cn] | -| Audio tagging | [Click me][hf-space-audio-tagging] | [镜像][hf-space-audio-tagging-cn] | -| Source separation | [Click me][hf-space-source-separation] | [镜像][hf-space-source-separation-cn] | -| Spoken language identification with [Whisper][Whisper]| [Click me][hf-space-slid-whisper] | [镜像][hf-space-slid-whisper-cn] | - -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) 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]| -|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 (Piper, English) |[Click me][wasm-hf-tts-piper-en]| [地址][wasm-ms-tts-piper-en]| -|Speech synthesis (Piper, German) |[Click me][wasm-hf-tts-piper-de]| [地址][wasm-ms-tts-piper-de]| -|Speech synthesis (Matcha, Chinese) |[Click me][wasm-hf-tts-matcha-zh]| [地址][wasm-ms-tts-matcha-zh]| -|Speech synthesis (Matcha, English) |[Click me][wasm-hf-tts-matcha-en]| [地址][wasm-ms-tts-matcha-en]| -|Speech synthesis (Matcha, Chinese+English) |[Click me][wasm-hf-tts-matcha-zh-en]| [地址][wasm-ms-tts-matcha-zh-en]| -|Speaker diarization |[Click me][wasm-hf-speaker-diarization]|[地址][wasm-ms-speaker-diarization]| -|Voice cloning with ZipVoice (Chinese+English) |[Click me][wasm-hf-voice-cloning-zipvoice]|[地址][wasm-ms-voice-cloning-zipvoice]| -|Voice cloning with Pocket TTS (English) |[Click me][wasm-hf-voice-cloning-pocket]|[地址][wasm-ms-voice-cloning-pocket]| - -
- -### 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] | -| Simulated-streaming speech recognition | [Address][apk-simula-streaming-asr]| [点此][apk-simula-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-x64-cn] | -| macOS (arm64) | [Address][flutter-tts-macos-arm64] | [点此][flutter-tts-macos-arm64-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] | -| Speech enhancement | [Address][speech-enhancement-models] | -| Source separation | [Address][source-separation-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| -|-----|-----|----| -|[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 | -|[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-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| -|[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 - -### [Sherpa Voice / @siteed/sherpa-onnx.rn](https://github.com/deeeed/audiolab) - -> React Native wrapper and demo app for validating sherpa-onnx on iOS, -> Android, and Web, including ASR, TTS, VAD, KWS, speaker ID, diarization, -> language ID, punctuation, audio tagging, and speech enhancement. - -- [NPM package](https://www.npmjs.com/package/@siteed/sherpa-onnx.rn) -- [Live demo](https://deeeed.github.io/audiolab/sherpa-voice/) - -### [Speed of Sound](https://github.com/zugaldia/speedofsound) - -> A voice-typing application for the Linux desktop (GTK4/Adwaita). -> It captures microphone audio, transcribes it offline using Sherpa ONNX ASR models, -> optionally polishes the text with an LLM, and types the result into the active window -> via XDG Remote Desktop Portal keyboard simulation. - -### [VoxSherpa TTS](https://github.com/CodeBySonu95/VoxSherpa-TTS) - -> VoxSherpa TTS is a 100% offline Android Text-to-Speech app powered by Sherpa-ONNX. -> It supports Kokoro-82M, Piper, and VITS engines with multilingual support including -> Hindi, English, British English, Japanese, Chinese and 50+ more languages. - -- [Download APK (All Versions)](https://github.com/CodeBySonu95/VoxSherpa-TTS/releases) -- Android 11+ · 100% offline · No telemetry - -
- -| Generate | Models | Library | Settings | -|:---:|:---:|:---:|:---:| -| | | | | - -
- ---- -### [BreezeApp](https://github.com/mtkresearch/BreezeApp) from [MediaTek Research](https://github.com/mtkresearch) - -> BreezeAPP is a mobile AI application developed for both Android and iOS platforms. -> Users can download it directly from the App Store and enjoy a variety of features -> offline, including speech-to-text, text-to-speech, text-based chatbot interactions, -> and image question-answering - - - [Download APK for BreezeAPP](https://huggingface.co/MediaTek-Research/BreezeApp/resolve/main/BreezeApp.apk) - - [APK 中国镜像](https://hf-mirror.com/MediaTek-Research/BreezeApp/blob/main/BreezeApp.apk) - -| 1 | 2 | 3 | -|---|---|---| -|![](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)| - -### [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. - -### [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) - -### [C++ WebSocket ASR Server](https://github.com/mawwalker/stt-server) - -It provides a WebSocket server based on C++ for ASR using sherpa-onnx. - -### [Go WebSocket Server](https://github.com/bbeyondllove/asr_server) - -It provides a WebSocket server based on the Go programming language for sherpa-onnx. - -### [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. -|1| -|---| -|![](https://github.com/user-attachments/assets/f6eea2d5-1807-42cb-9160-be8da2971e1f)| - -### [TtsReader - Desktop application](https://github.com/ys-pro-duction/TtsReader) - -A desktop text-to-speech application built using Kotlin Multiplatform. - -### [MentraOS](https://github.com/Mentra-Community/MentraOS) - -> Smart glasses OS, with dozens of built-in apps. Users get AI assistant, notifications, -> translation, screen mirror, captions, and more. Devs get to write 1 app that runs on -> any pair of smart glasses. - -It uses sherpa-onnx for real-time speech recognition on iOS and Android devices. -See also - -It uses Swift for iOS and Java for Android. - -### [flet_sherpa_onnx](https://github.com/SamYuan1990/flet_sherpa_onnx) - -Flet ASR/STT component based on sherpa-onnx. -Example [a chat box agent](https://github.com/SamYuan1990/i18n-agent-action) - -### [achatbot-go](https://github.com/ai-bot-pro/achatbot-go) - -a multimodal chatbot based on go with sherpa-onnx's speech lib api. - -### [fcitx5-vinput](https://github.com/xifan2333/fcitx5-vinput) - -Local offline voice input plugin for [Fcitx5](https://github.com/fcitx/fcitx5) (Linux input method framework). -It uses C++ with offline ASR for speech recognition, supporting push-to-talk, -command mode, and optional LLM post-processing. - -Video demo in Chinese: [fcitx5-vinput](https://www.bilibili.com/video/BV1a6cUzVE6F) - -### [Wake Word](https://github.com/analyticsinmotion/wake-word) - -A VS Code extension for hands-free voice-activated coding. It uses sherpa-onnx for real-time -keyword spotting (KWS) to detect custom wake phrases and trigger VS Code commands by voice. -Audio capture is handled by [decibri](https://github.com/analyticsinmotion/decibri), a -cross-platform Node.js microphone streaming library with prebuilt native binaries. - -- [VS Code Marketplace](https://marketplace.visualstudio.com/items?itemName=analytics-in-motion.wake-word) -- [Open VSX](https://open-vsx.org/extension/analytics-in-motion/wake-word) -- [decibri integration guides for sherpa-onnx](https://decibri.dev/docs/node/integrations/sherpa-onnx-stt.html) - -### [SmartSub](https://github.com/buxuku/SmartSub) - -> SmartSub is a local-first cross-platform desktop application for the complete subtitle production pipeline: audio/video transcription, subtitle translation, proofreading, and subtitle burning/muxing. -> -> It natively integrates sherpa-onnx to power three offline ASR engines — FunASR, Qwen3-ASR, and FireRedASR — delivering high-accuracy Chinese and multilingual speech recognition entirely on-device, with no file uploads required. - -[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-speaker-diarization-cn]: https://hf.qhduan.com/spaces/k2-fsa/speaker-diarization -[hf-space-asr]: https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition -[hf-space-asr-cn]: https://hf.qhduan.com/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-asr-whisper-cn]: https://hf.qhduan.com/spaces/k2-fsa/automatic-speech-recognition-with-whisper -[hf-space-tts]: https://huggingface.co/spaces/k2-fsa/text-to-speech -[hf-space-tts-cn]: https://hf.qhduan.com/spaces/k2-fsa/text-to-speech -[hf-space-subtitle]: https://huggingface.co/spaces/k2-fsa/generate-subtitles-for-videos -[hf-space-subtitle-cn]: https://hf.qhduan.com/spaces/k2-fsa/generate-subtitles-for-videos -[hf-space-audio-tagging]: https://huggingface.co/spaces/k2-fsa/audio-tagging -[hf-space-audio-tagging-cn]: https://hf.qhduan.com/spaces/k2-fsa/audio-tagging -[hf-space-source-separation]: https://huggingface.co/spaces/k2-fsa/source-separation -[hf-space-source-separation-cn]: https://hf.qhduan.com/spaces/k2-fsa/source-separation -[hf-space-slid-whisper]: https://huggingface.co/spaces/k2-fsa/spoken-language-identification -[hf-space-slid-whisper-cn]: https://hf.qhduan.com/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-zipformer-ctc-07-03]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-ctc -[wasm-ms-vad-asr-zh-zipformer-ctc-07-03]: https://modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-ctc/summary -[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-matcha-zh-en]: 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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-arm64-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-x64-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]: 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-[SpacemiT-K3]: https://cdn-resource.spacemit.com/file/chip/K3/K3_brief_zh.pdf +The upstream Apache 2.0 license is included in [LICENSE](LICENSE).